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Cancer Prevention Through Early Detection

Overview of attention for book
Cancer Prevention Through Early Detection
Springer Nature Switzerland

Table of Contents

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    Book Overview
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    Chapter 1 A Deep Attention-Multiple Instance Learning Framework to Predict Survival of Soft-Tissue Sarcoma from Whole Slide Images
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    Chapter 2 Towards Real-Time Confirmation of Breast Cancer in the OR Using CNN-Based Raman Spectroscopy Classification
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    Chapter 3 Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images
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    Chapter 4 Image Captioning for Automated Grading and Understanding of Ulcerative Colitis
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    Chapter 5 Multispectral 3D Masked Autoencoders for Anomaly Detection in Non-Contrast Enhanced Breast MRI
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    Chapter 6 Non-redundant Combination of Hand-Crafted and Deep Learning Radiomics: Application to the Early Detection of Pancreatic Cancer
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    Chapter 7 Assessing the Performance of Deep Learning-Based Models for Prostate Cancer Segmentation Using Uncertainty Scores
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    Chapter 8 MoSID: Modality-Specific Information Disentanglement from Multi-parametric MRI for Breast Tumor Segmentation
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    Chapter 9 Colonoscopy Coverage Revisited: Identifying Scanning Gaps in Real-Time
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    Chapter 10 ColNav: Real-Time Colon Navigation for Colonoscopy
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    Chapter 11 Modeling Barrett’s Esophagus Progression Using Geometric Variational Autoencoders
Attention for Chapter 3: Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images
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