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Deep Learning in Medical Image Analysis

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An overview of deep learning in medical imaging focusing on MRI

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A survey on Image Data Augmentation for Deep Learning

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Deep Learning Techniques for Medical Image Segmentation: Achievements and Challenges

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Deep Learning in Medical Imaging: General Overview

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Overview of deep learning in medical imaging

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Intermuscular Adipose Tissue as a Multimodality Quantitative Imaging Biomarker: Evidence Across Metabolic, Cardiovascular and Oncologic Diseases.

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Deep learning-based automated segmentation of neck abscesses on multiparametric MRI.

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A public generalizable AI tool for automated segmentation of coronal brain tissue slabs for 3D neuropathology.

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Motion Artifact-Aware Self-Supervised Representation Learning for 3D Brain MRI Motion Artifact Reduction.

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Deep Learning Applications in Medical Imaging

Janani Viswanathan, N. Saranya, Abinaya Inbamani

Breast cancer detection in pathological imaging using deep learning methods

Deep Learning for Medical Image Analysis

S. Kevin Zhou, Hayit Greenspan, Dinggang Shen

Machine Learning and Deep Learning Techniques for Medical Image Recognition

Ben Othman Soufiene, Chinmay Chakraborty

Deep Learning Models for Medical Imaging

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A novel network-level fused deep learning architecture with shallow neural network classifier for gastrointestinal cancer classification from wireless capsule endoscopy images

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Correlation analysis between preoperative MRI image features based on image reconstruction algorithms and incision healing in patients with benign hepatobiliary diseases undergoing postoperative drainage tube placement

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Vison transformer adapter-based hyperbolic embeddings for multi-lesion segmentation in diabetic retinopathy

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Quantum Leap in Healthcare: A Comparative Analysis of AI/ML and Quantum Computing for Healthcare opportunities of the new era

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