Dermatologist-level Classification Of Skin Cancer With Deep Neural Networks

·2017·DOI

Health Sciences and Innovation

Biomedical Engineering

Cancer Research and Treatment

Deep Learning for Medical Imaging

Role in the Field

Neutralin Health Sciences and Innovation

Neutralin Biomedical Engineering

Neutralin Cancer Research and Treatment

Neutralin Deep Learning for Medical Imaging

Abstract

Citations

9,242

Year

2017

PageRank

5.5 / 10

Relative influence (log-scaled)

Related Papers

10 of 10 papers

nnU-Net: A Self-Configuring Method For Deep Learning-Based Biomedical Image Segmentation

·2020·4,323 citations

UNet++: A Nested U-Net Architecture For Medical Image Segmentation

·2018·4,412 citations

Deep Learning In Medical Image Analysis

·2017·3,296 citations

V-Net: Fully Convolutional Neural Networks For Volumetric Medical Image Segmentation

·2016·6,054 citations

Deep Convolutional Neural Networks For Computer-Aided Detection: CNN Architectures, Dataset Characteristics And Transfer Learning

·2016·4,295 citations

U-Net: Convolutional Networks For Biomedical Image Segmentation

·2015·40,083 citations

The Multimodal Brain Tumor Image Segmentation Benchmark (BRATS)

·2015·4,200 citations

An Automated Labeling System For Subdividing The Human Cerebral Cortex On MRI Scans Into Gyral Based Regions Of Interest

·2006·11,022 citations

Fast Robust Automated Brain Extraction

·2002·9,224 citations

Whole Brain Segmentation

·2002·7,079 citations