Description

Book Synopsis

FAIMI: Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods.- Dataset Distribution Impacts Model Fairness: Single vs Multi-Task Learning.- AI Fairness in Medical Imaging: Controlling for Disease Severity.- Fair and Private CT Contrast Agent Detection.- Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly.- Fair AI Outcomes Without Sacrificing Group Gains .- All you need is a guiding hand: mitigating shortcut bias in deep learning models for medical imaging.- Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms.- Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation.- BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning.- Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data.- Do sites benefit equally from distributed learning in medical image analysis.-

Ethics and Fairness in Medical Imaging

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    A Paperback by Esther Puyol-Antón

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      Publisher: Springer
      Publication Date: Publication Date: 10/13/2024
      ISBN13: 9783031727863, 978-3031727863
      ISBN10: 303172786X
      Also in:
      Computer vision

      Description

      Book Synopsis

      FAIMI: Slicing Through Bias: Explaining Performance Gaps in Medical Image Analysis using Slice Discovery Methods.- Dataset Distribution Impacts Model Fairness: Single vs Multi-Task Learning.- AI Fairness in Medical Imaging: Controlling for Disease Severity.- Fair and Private CT Contrast Agent Detection.- Mitigating Overdiagnosis Bias in CNN-Based Alzheimer's Disease Diagnosis for the Elderly.- Fair AI Outcomes Without Sacrificing Group Gains .- All you need is a guiding hand: mitigating shortcut bias in deep learning models for medical imaging.- Exploring Fairness in State-of-the-Art Pulmonary Nodule Detection Algorithms.- Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation.- BMFT: Achieving Fairness via Bias-based Weight Masking Fine-tuning.- Using Backbone Foundation Model for Evaluating Fairness in Chest Radiography Without Demographic Data.- Do sites benefit equally from distributed learning in medical image analysis.-

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