Top Papers: KI in der Krebserkennung (2016)

Convolutional Neural Networks for Medical Image Analysis: Full Training or Fine Tuning?

Nima Tajbakhsh, J. Shin, Suryakanth Gurudu et al.

IEEE Transactions on Medical Imaging

Deep Learning for Health Informatics

Daniele Ravì, Charence Wong, Fani Deligianni et al.

IEEE Journal of Biomedical and Health Informatics

Guest Editorial Deep Learning in Medical Imaging: Overview and Future Promise of an Exciting New Technique

Hayit Greenspan, Bram van Ginneken, Ronald M. Summers

IEEE Transactions on Medical Imaging

Lung Pattern Classification for Interstitial Lung Diseases Using a Deep Convolutional Neural Network

Marios Anthimopoulos, Stergios Christodoulidis, Lukas Ebner et al.

IEEE Transactions on Medical Imaging

Deep learning for digital pathology image analysis: A comprehensive tutorial with selected use cases

Andrew Janowczyk, Anant Madabhushi

Journal of Pathology Informatics

Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images

Korsuk Sirinukunwattana, Shan E Ahmed Raza, Yee‐Wah Tsang et al.

IEEE Transactions on Medical Imaging

Automated Melanoma Recognition in Dermoscopy Images via Very Deep Residual Networks

Lequan Yu, Hao Chen, Qi Dou et al.

IEEE Transactions on Medical Imaging

Deep learning as a tool for increased accuracy and efficiency of histopathological diagnosis

Geert Litjens, Clara I. Sá‎nchez, N. K. Timofeeva et al.

Scientific Reports

Image analysis and machine learning in digital pathology: Challenges and opportunities

Anant Madabhushi, George Lee

Medical Image Analysis

Predicting non-small cell lung cancer prognosis by fully automated microscopic pathology image features

Kun‐Hsing Yu, Ce Zhang, Gerald J. Berry et al.

Nature Communications

The Importance of Skip Connections in Biomedical Image Segmentation

Michal Drozdzal, Eugene Vorontsov, Gabriel Chartrand et al.

Lecture notes in computer science

Large scale deep learning for computer aided detection of mammographic lesions

Thijs Kooi, Geert Litjens, Bram van Ginneken et al.

Medical Image Analysis

Gland segmentation in colon histology images: The glas challenge contest

Korsuk Sirinukunwattana, Josien P. W. Pluim, Hao Chen et al.

Medical Image Analysis

Breast cancer histopathological image classification using Convolutional Neural Networks

Fábio Alexandre Spanhol, Luiz S. Oliveira, Caroline Petitjean et al.

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Patch-Based Convolutional Neural Network for Whole Slide Tissue Image Classification

Le Hou, Dimitris Samaras, Tahsin Kurç et al.

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Deep Learning for Identifying Metastatic Breast Cancer

D. Wang, Aditya Khosla, Rishab Gargeya et al.

arXiv (Cornell University)

Structure-Preserving Color Normalization and Sparse Stain Separation for Histological Images

Abhishek Vahadane, Tingying Peng, Amit Sethi et al.

IEEE Transactions on Medical Imaging

Using Machine Learning Algorithms for Breast Cancer Risk Prediction and Diagnosis

Hiba Asri, Hajar Mousannif, Hassan Al Moatassime et al.

Procedia Computer Science

Computer-Aided Diagnosis with Deep Learning Architecture: Applications to Breast Lesions in US Images and Pulmonary Nodules in CT Scans

Jie-Zhi Cheng, Dong Ni, Yi‐Hong Chou et al.

Scientific Reports

The Potential of Radiomic-Based Phenotyping in Precision Medicine

Hugo J.W.L. Aerts

JAMA Oncology

National Performance Benchmarks for Modern Screening Digital Mammography: Update from the Breast Cancer Surveillance Consortium

Constance D. Lehman, Robert F. Arao, Brian L. Sprague et al.

Radiology

Automatic Liver and Lesion Segmentation in CT Using Cascaded Fully Convolutional Neural Networks and 3D Conditional Random Fields

Patrick Ferdinand Christ, Mohamed Ezzeldin A. Elshaer, Florian Ettlinger et al.

Lecture notes in computer science

AggNet: Deep Learning From Crowds for Mitosis Detection in Breast Cancer Histology Images

Shadi Albarqouni, Christoph Baur, Felix Achilles et al.

IEEE Transactions on Medical Imaging

Adapting to Artificial Intelligence

Saurabh Kumar Jha, Eric J. Topol

JAMA

Digital mammographic tumor classification using transfer learning from deep convolutional neural networks

Benjamin Q. Huynh, Hui Li, Maryellen L. Giger

Journal of Medical Imaging

DCAN: Deep Contour-Aware Networks for Accurate Gland Segmentation

Hao Chen, Xiaojuan Qi, Lequan Yu et al.

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Multi-class texture analysis in colorectal cancer histology

Jakob Nikolas Kather, Cleo‐Aron Weis, Francesco Bianconi et al.

Scientific Reports

Evolving support vector machines using fruit fly optimization for medical data classification

Shen Li-ming, Huiling Chen, Zhe Yu et al.

Knowledge-Based Systems

Big Data Application in Biomedical Research and Health Care: A Literature Review

Jake Luo, Min Wu, Deepika Gopukumar et al.

Biomedical Informatics Insights

An Ensemble of Fine-Tuned Convolutional Neural Networks for Medical Image Classification

Ashnil Kumar, Jinman Kim, David Lyndon et al.

IEEE Journal of Biomedical and Health Informatics

Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review

Fuyong Xing, Lin Yang

IEEE Reviews in Biomedical Engineering

DCAN: Deep contour-aware networks for object instance segmentation from histology images

Hao Chen, Xiaojuan Qi, Lequan Yu et al.

Medical Image Analysis

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Özgün Çiçek, Ahmed Abdulkadir, Soeren S. Lienkamp et al.

arXiv (Cornell University)

Representation learning for mammography mass lesion classification with convolutional neural networks

John Arévalo, Fabio A. González, Raúl Ramos-Pollán et al.

Computer Methods and Programs in Biomedicine

Deep 3D Convolutional Encoder Networks With Shortcuts for Multiscale Feature Integration Applied to Multiple Sclerosis Lesion Segmentation

Tom Brosch, Lisa Tang, Youngjin Yoo et al.

IEEE Transactions on Medical Imaging

A Deep Convolutional Neural Network for segmenting and classifying epithelial and stromal regions in histopathological images

Jun Xu, Xiaofei Luo, Guanhao Wang et al.

Neurocomputing

Unsupervised Deep Learning Applied to Breast Density Segmentation and Mammographic Risk Scoring

Michiel Kallenberg, Kersten Petersen, Mads Nielsen et al.

IEEE Transactions on Medical Imaging

Deep learning for magnification independent breast cancer histopathology image classification

Neslihan Bayramoğlu, Juho Kannala, Janne Heikkilä

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Supplemental Screening for Breast Cancer in Women With Dense Breasts: A Systematic Review for the U.S. Preventive Services Task Force

Joy Melnikow, Joshua J. Fenton, Evelyn P Whitlock et al.

Annals of Internal Medicine

Exploratory Study to Identify Radiomics Classifiers for Lung Cancer Histology

Weimiao Wu, Chintan Parmar, Patrick Großmann et al.

Frontiers in Oncology

Melanoma detection by analysis of clinical images using convolutional neural network

Ebrahim Nasr-Esfahani, Shadrokh Samavi, Nader Karimi et al.

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Deep Learning and Data Labeling for Medical Applications

Gustavo Carneiro, Diana Mateus, Loïc Peter et al.

Lecture notes in computer science

Classification of CT brain images based on deep learning networks

Xiaohong Gao, Rui Hui, Zengmin Tian

Computer Methods and Programs in Biomedicine

Machine learning approaches in medical image analysis: From detection to diagnosis

Marleen de Bruijne

Medical Image Analysis

Deep features to classify skin lesions

Jeremy Kawahara, Aïcha BenTaieb, Ghassan Hamarneh

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Melanoma Classification on Dermoscopy Images Using a Neural Network Ensemble Model

Fengying Xie, Haidi Fan, Yang Li et al.

IEEE Transactions on Medical Imaging

A deep feature based framework for breast masses classification

Zhicheng Jiao, Xinbo Gao, Ying Wang et al.

Neurocomputing

Predicting Malignant Nodules from Screening CT Scans

Samuel Hawkins, Hua Wang, Ying Liu et al.

Journal of Thoracic Oncology

A DEEP LEARNING APPROACH FOR CANCER DETECTION AND RELEVANT GENE IDENTIFICATION

Padideh Danaee, Reza Ghaeini, David A. Hendrix

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Mass detection in digital breast tomosynthesis: Deep convolutional neural network with transfer learning from mammography

Ravi K. Samala, Heang‐Ping Chan, Lubomir M. Hadjiiski et al.

Medical Physics