Skin lesion segmentation using U-Net and good training strategies

27 November 2018

Papers citing "Skin lesion segmentation using U-Net and good training strategies"

7 / 7 papers shown

Title
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 266 1,026 0 26 Mar 2018
Skin Lesion Analysis Toward Melanoma Detection: A Challenge at the 2017 International Symposium on Biomedical Imaging (ISBI), Hosted by the International Skin Imaging Collaboration (ISIC) Noel Codella D. Gutman M. E. Celebi Brian Helba Michael Marchetti ... Aadi Kalloo Konstantinos Liopyris N. Mishra Harald Kittler Allan Halpern 71 2,062 0 13 Oct 2017
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition V. Iglovikov Sergey Mushinskiy V. Osin 49 167 0 19 Jun 2017
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Zhuowen Tu Kaiming He 437 10,281 0 16 Nov 2016
U-Net: Convolutional Networks for Biomedical Image Segmentation Olaf Ronneberger Philipp Fischer Thomas Brox SSeg 3DV 1.2K 76,547 0 18 May 2015
Assessment of algorithms for mitosis detection in breast cancer histopathology images M. Veta P. Diest S. Willems Haibo Wang A. Madabhushi ... Nasir M. Rajpoot E. Arkoumani M. Laclé M. Viergever J. Pluim 49 427 0 21 Nov 2014
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 1.1K 39,383 0 01 Sep 2014