人工智能在乳腺癌早诊中的应用

人工智能在乳腺癌早诊中的应用
人工智能在乳腺癌早诊中的应用
人工智能在乳腺癌早诊中的应用
人工智能在乳腺癌早诊中的应用

人工智能在乳腺癌早诊中的应用

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人工智能在乳腺癌早诊中的应用

人工智能在乳腺癌早诊中的应用

$43.92

编辑推荐

智能医学目前在国内外均快速发展，智能医学在癌症诊疗及康复领域也发挥着重要的影响。本书介绍了用于医学图像分析的下一代智能筛查技术，该技术将人工智能（AI）技术与数字筛查相结合，开发出检测乳腺癌的创新方法，内容符合智能医学的发展趋势。

 内容简介
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编辑推荐

智能医学目前在国内外均快速发展，智能医学在癌症诊疗及康复领域也发挥着重要的影响。本书介绍了用于医学图像分析的下一代智能筛查技术，该技术将人工智能（AI）技术与数字筛查相结合，开发出检测乳腺癌的创新方法，内容符合智能医学的发展趋势。

 
内容简介

"内容介绍 第1章讨论了癌症和乳腺癌的基本情况。第2章详细讨论了乳腺癌的各个阶段和类型。第3章介绍了人工智能和各种学习算法的相关知识，并讨论了各种学习算法的优点和局限性。第4章介绍了人工智能及学习算法在医疗领域和医学成像中的作用。第5章介绍了乳腺癌检测和诊断中各个阶段的计算机辅助系统。第6章提出了深度学习模型及其在乳腺癌分类中的应用。 特色 ·癌症和乳腺癌的基本信息 ·不同阶段和类型的乳腺癌 ·学习算法及其在医学保健和医学图像分析中的作用 ·检测和诊断乳腺癌的计算机辅助系统 ·纳入了乳腺癌检测和诊断的深度学习模式 "

作者简介
"哈立德•沙伊克（Khalid Shaikh），人工智能驱动的健康科技创业公司Prognica实验室和人工智能咨询与开发公司Affaan Technologies的创始人兼CEO。 萨比塔•克里什南（Sabitha Krishnan），Prognica实验室的人工智能专家，她致力于为人类致命疾病的诊断提供创新解决方案。她的研究背景包括在检测眼部疾病和大脑、乳房、皮肤的肿瘤诊断，以及检测腹部异常的超声波方面实施机器学习的经验。 罗希特•M.谢伊（Rohit M.Thanki），博士，C.U.Shah大学电子和通信工程博士学位。主要研究领域是人工智能、计算机视觉、数字水印、医学图像分析、多媒体安全、生物识别和压缩传感。 江泽飞 现任解放军总医院肿瘤医学部副主任、主任医师、教授，中国临床肿瘤学会（CSCO）副理事长兼秘书长，CSCO孔腺癌专家委员会主任委员，北京医学会乳腺疾病分会主任委员，国家卫生健康委员会能力建设和继续教育肿瘤学专委会秘书长，St.Gallen早期乳腺癌国际专家共识团成员，中国新药审评专家，Translational Breast Cancer Research杂志主编。 作为主要参与人，参与了国内大多数乳腺癌专家共识及指南的起草工作，负责并执笔《CSCO乳腺癌诊疗指南》《CSCO常见恶性肿瘤诊疗指南》《NCCN肿瘤学临床实践指南》等行业重要指南，推动我国乳腺癌规范化诊疗进程。主编《现代乳腺癌全程管理新理念和临床策略》《孔腺癌分类治疗》《现代乳腺疾病诊疗基本原则和实践》等10余部专著。 近5年来，在Lances Oncology、Nature Communication等杂志发表高质量论文61篇，重点围绕“液体肿瘤学”“分子靶向治疗”“大数据与人工智能”等开展相关研究，积极探索乳腺癌诊疗新技术和新方法，其研究成果在美国肿瘤学年会(ASCO)、欧洲肿瘤内科学年会(ESMO)、St Gallen国际乳腺癌会议、中国临床肿瘤学会(CSCO)等国内外重要会议中进行了汇报。2016年荣获“金显宅乳腺癌研究纪念奖”；2019年获《人民日报》“国之名医•卓越建树”荣誉称号。 李健斌 解放军总医院第五医学中心肿瘤医学部博士后、军事医学研究院生物工程研究所助理研究员、中国临床肿瘤学会乳腺癌专业委员会委员，Translational Breast Cancer Research杂志常务编辑。致力于科研事业，重点参与乳腺癌循环肿瘤细胞、大数据与人工智能等课题研究，参与中国临床肿瘤学会乳腺癌大数据的建立和数据分析工作，参与CSCO人工智能决策系统的建立与推广，以及国内多中心人工智能辅助决策系统的验证研究。参与《NCCN乳腺癌临床实践指南(2006版)》《中国临床肿瘤学会乳腺癌诊疗指南》等行业指南的撰写工作，参编专著7部，在国内外期刊发表文章数十篇。 郝晓鹏 解放军总医院医学中心普外学部乳腺外科副主任医师，教授。中国医药教育协会乳腺疾病专业委员会常委、秘书长，北京医学会乳腺疾病分会青年委员会副主任委员，北京乳腺疾病防治学会青年委员会副主任委员，中国医师协会乳腺癌手术比赛全国冠军，中华医学会乳腺微创活检手术专家共识执笔者，北京自然科学基金评审专家，《中华普通外科手术学杂志》《中华乳腺病杂志》《医学参考报》编委。 "
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目　　录

"第1章 乳腺癌介绍 1.1 癌症及其治疗 1.2 乳腺的解剖 1.3 什么是乳腺癌 1.4 乳腺癌的风险因素 1.5 乳腺癌的预防 第2章 乳腺癌的类型、诊断和治疗 2.1 乳腺癌的分期 2.2 乳腺癌类型 2.3 乳腺癌的早期发现 2.4 乳腺癌的诊断 2.5 乳腺癌的治疗 第3章 人工智能与学习算法 3.1 人工智能 3.2 机器学习 3.3 监督式学习算法 3.4 非监督式学习算法 3.5 强化学习算法 3.6 深度学习 第4章 医疗和医学影像中的人工智能 4.1 人工智能医疗 4.2 医学影像中的人工智能 第5章 人工智能在乳腺癌检测与诊断中的应用 5.1 多种影像技术在乳腺癌检测中的应用 5.2 乳腺癌的不同诊断阶段 第6章 乳腺癌分类的深度学习模型 6.1 各种乳腺癌影像数据集 6.2 分类模型性能的评价参数 6.3 乳腺癌分类的深度学习模型 索引 "

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Please note that shipping times may vary due to factors beyond our control, such as weather conditions, natural disasters, or peak holiday periods. While we strive to ensure timely delivery, the exact arrival time cannot be guaranteed and is managed by the shipping carrier.

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  • Standard Delivery: Most orders are shipped within 3-7 business days. Larger items may utilize LTL shipping for safe handling.

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  • Estimates: Standard shipping within the US typically takes 3-7 business days. These are estimates and not guarantees.

  • Shipping Restrictions: We ship to all 50 states, Washington, DC, U.S. territories, and APO/FPO/DPO addresses. Shipping options vary based on the delivery address.

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编辑推荐

智能医学目前在国内外均快速发展，智能医学在癌症诊疗及康复领域也发挥着重要的影响。本书介绍了用于医学图像分析的下一代智能筛查技术，该技术将人工智能（AI）技术与数字筛查相结合，开发出检测乳腺癌的创新方法，内容符合智能医学的发展趋势。

 
内容简介

"内容介绍 第1章讨论了癌症和乳腺癌的基本情况。第2章详细讨论了乳腺癌的各个阶段和类型。第3章介绍了人工智能和各种学习算法的相关知识，并讨论了各种学习算法的优点和局限性。第4章介绍了人工智能及学习算法在医疗领域和医学成像中的作用。第5章介绍了乳腺癌检测和诊断中各个阶段的计算机辅助系统。第6章提出了深度学习模型及其在乳腺癌分类中的应用。 特色 ·癌症和乳腺癌的基本信息 ·不同阶段和类型的乳腺癌 ·学习算法及其在医学保健和医学图像分析中的作用 ·检测和诊断乳腺癌的计算机辅助系统 ·纳入了乳腺癌检测和诊断的深度学习模式 "

作者简介
"哈立德•沙伊克（Khalid Shaikh），人工智能驱动的健康科技创业公司Prognica实验室和人工智能咨询与开发公司Affaan Technologies的创始人兼CEO。 萨比塔•克里什南（Sabitha Krishnan），Prognica实验室的人工智能专家，她致力于为人类致命疾病的诊断提供创新解决方案。她的研究背景包括在检测眼部疾病和大脑、乳房、皮肤的肿瘤诊断，以及检测腹部异常的超声波方面实施机器学习的经验。 罗希特•M.谢伊（Rohit M.Thanki），博士，C.U.Shah大学电子和通信工程博士学位。主要研究领域是人工智能、计算机视觉、数字水印、医学图像分析、多媒体安全、生物识别和压缩传感。 江泽飞 现任解放军总医院肿瘤医学部副主任、主任医师、教授，中国临床肿瘤学会（CSCO）副理事长兼秘书长，CSCO孔腺癌专家委员会主任委员，北京医学会乳腺疾病分会主任委员，国家卫生健康委员会能力建设和继续教育肿瘤学专委会秘书长，St.Gallen早期乳腺癌国际专家共识团成员，中国新药审评专家，Translational Breast Cancer Research杂志主编。 作为主要参与人，参与了国内大多数乳腺癌专家共识及指南的起草工作，负责并执笔《CSCO乳腺癌诊疗指南》《CSCO常见恶性肿瘤诊疗指南》《NCCN肿瘤学临床实践指南》等行业重要指南，推动我国乳腺癌规范化诊疗进程。主编《现代乳腺癌全程管理新理念和临床策略》《孔腺癌分类治疗》《现代乳腺疾病诊疗基本原则和实践》等10余部专著。 近5年来，在Lances Oncology、Nature Communication等杂志发表高质量论文61篇，重点围绕“液体肿瘤学”“分子靶向治疗”“大数据与人工智能”等开展相关研究，积极探索乳腺癌诊疗新技术和新方法，其研究成果在美国肿瘤学年会(ASCO)、欧洲肿瘤内科学年会(ESMO)、St Gallen国际乳腺癌会议、中国临床肿瘤学会(CSCO)等国内外重要会议中进行了汇报。2016年荣获“金显宅乳腺癌研究纪念奖”；2019年获《人民日报》“国之名医•卓越建树”荣誉称号。 李健斌 解放军总医院第五医学中心肿瘤医学部博士后、军事医学研究院生物工程研究所助理研究员、中国临床肿瘤学会乳腺癌专业委员会委员，Translational Breast Cancer Research杂志常务编辑。致力于科研事业，重点参与乳腺癌循环肿瘤细胞、大数据与人工智能等课题研究，参与中国临床肿瘤学会乳腺癌大数据的建立和数据分析工作，参与CSCO人工智能决策系统的建立与推广，以及国内多中心人工智能辅助决策系统的验证研究。参与《NCCN乳腺癌临床实践指南(2006版)》《中国临床肿瘤学会乳腺癌诊疗指南》等行业指南的撰写工作，参编专著7部，在国内外期刊发表文章数十篇。 郝晓鹏 解放军总医院医学中心普外学部乳腺外科副主任医师，教授。中国医药教育协会乳腺疾病专业委员会常委、秘书长，北京医学会乳腺疾病分会青年委员会副主任委员，北京乳腺疾病防治学会青年委员会副主任委员，中国医师协会乳腺癌手术比赛全国冠军，中华医学会乳腺微创活检手术专家共识执笔者，北京自然科学基金评审专家，《中华普通外科手术学杂志》《中华乳腺病杂志》《医学参考报》编委。 "
显示全部信息
目　　录

"第1章 乳腺癌介绍 1.1 癌症及其治疗 1.2 乳腺的解剖 1.3 什么是乳腺癌 1.4 乳腺癌的风险因素 1.5 乳腺癌的预防 第2章 乳腺癌的类型、诊断和治疗 2.1 乳腺癌的分期 2.2 乳腺癌类型 2.3 乳腺癌的早期发现 2.4 乳腺癌的诊断 2.5 乳腺癌的治疗 第3章 人工智能与学习算法 3.1 人工智能 3.2 机器学习 3.3 监督式学习算法 3.4 非监督式学习算法 3.5 强化学习算法 3.6 深度学习 第4章 医疗和医学影像中的人工智能 4.1 人工智能医疗 4.2 医学影像中的人工智能 第5章 人工智能在乳腺癌检测与诊断中的应用 5.1 多种影像技术在乳腺癌检测中的应用 5.2 乳腺癌的不同诊断阶段 第6章 乳腺癌分类的深度学习模型 6.1 各种乳腺癌影像数据集 6.2 分类模型性能的评价参数 6.3 乳腺癌分类的深度学习模型 索引 "

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Shipping Overview: 

• Shipping: Standard Domestic Shipping within the United States charges USD 4.99. Standard International Shipping from United Kingdom, Germany and Japan to the United States charges 14.99. 

• Order Processing: Please allow 1-2 business days for order processing and preparation before shipment. 

• Domestic Shipping: Orders within the U.S. are shipped via USPS or FedEx, depending on the origin of the product. The average transit time is 3-7 business days. 

• International Shipping: Currently, we only ship within the USA. 

• Tracking Information: Every order is trackable. You will receive a tracking number once your order has been shipped. Products may be shipped from various global fulfillment centers.

Shipping Delays: 

Please note that shipping times may vary due to factors beyond our control, such as weather conditions, natural disasters, or peak holiday periods. While we strive to ensure timely delivery, the exact arrival time cannot be guaranteed and is managed by the shipping carrier.

Shipping Options:

  • Standard Delivery: Most orders are shipped within 3-7 business days. Larger items may utilize LTL shipping for safe handling.

  • Handling Time: We handle shipments on business days (Monday - Friday), with a preparation time of 1-2 days.

  • Additional Charges: Some items require additional shipping charges due to their size, weight, or special handling. These charges are specified on the product pages and are not eligible for shipping discounts.

  • Exclusions: Gift cards, packaging, taxes, and prior purchases do not count toward the minimum purchase requirement for free shipping. This offer is valid only for shipments to U.S. addresses, including Puerto Rico.

Delivery Details:

  • Estimates: Standard shipping within the US typically takes 3-7 business days. These are estimates and not guarantees.

  • Shipping Restrictions: We ship to all 50 states, Washington, DC, U.S. territories, and APO/FPO/DPO addresses. Shipping options vary based on the delivery address.

  • Remote Areas: Shipments to remote areas may incur additional charges or require pickup from a nearby shipping partner’s location.

Shipping Confirmation:

You will receive a shipping confirmation email with a tracking number as soon as your order is dispatched. If you do not receive this email immediately, please be assured that your items will arrive within the estimated delivery window provided at checkout.

Order Modifications:

If you need to cancel or modify your order, please contact our customer support immediately.

Issues with Delivery:

If your order shows as delivered but you have not received it, please contact the shipping carrier directly to resolve the issue. For persistent problems, contact our customer service at cs@everymarket.com.

Customer Support:

Our team is available 24/7 to assist you with any questions or concerns regarding your order. We are committed to ensuring a smooth shopping experience.

Return & Refund Policy Overview

Please review our return and refund policies below to ensure a smooth transaction process.

Return Policy

  • Duration: You have 30 days from receiving your item to initiate a return.

  • Condition: Items must be unworn, unwashed, with original tags and packaging intact.

  • Shipping Costs: Customers are responsible for return shipping costs.

  • Packaging: Ensure returned items are well-packaged to avoid damage during transit.

  • Tracking: Use a trackable and insured shipping method as we are not liable for items lost or damaged on return.

  • Initiating a Return: Contact us at cs@everymarket.com to start your return. We will provide a return shipping label and instructions upon approval. Returns without prior approval will not be accepted.

How to Return

  • Method: Returns must be sent back by mail to the address provided in the return instructions.

Return Label

  • Defective Products: Return labels are provided for defective items.

  • Non-Defective Returns: Customers are responsible for obtaining their return shipping label.

Product Conditions for Return

  • Eligible Products: Returns are only accepted for items in new condition.

Nonreturnable Items

Certain items are not eligible for return:

  • Electronic devices after 30 days (e.g., computers, laptops, Kindles)

  • Gift cards, prepaid game cards

  • Perishable goods, live insects, some jewelry, some health and personal care items

  • Customized or personalized products

  • Items with special shipping restrictions

Refund Policy

  • Window: Eligible products may be returned within 30 days of delivery for a refund.

  • Refund Method: Refunds are processed to the original payment method or as store credit for items purchased with gift cards.

  • Processing Time: Refunds are processed within 3-5 business days after we receive the return; please allow additional time for shipping and bank processing.

Claims

Inspect your order upon arrival and report any defects, damages, or incorrect items immediately to allow us to address the issue. For claims, contact our support team with details of the issue.

Exchange Policy

For the quickest service, return your original item and place a new order for the desired product once your return is accepted.

Return Address

EveryMarket Customer Service 2101 E Terra Ln, O'Fallon, MO 63366

Customer Support

Available 24/7 for any questions or assistance needed:

  • Phone: +1 636-312-5925

  • Email: cs@everymarket.com

 

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