Lesion Analysis and Diagnosis with Mask-RCNN
Image and Video Processing
2018-07-18 v2 Machine Learning
Authors:
Andrey Sorokin
Abstract
This project applies Mask R-CNN method to ISIC 2018 challenge tasks: lesion boundary segmentation (task1), lesion attributes detection (task 2), lesion diagnosis (task 3), a solution to the latter is using a trained model for task 1 and a simple voting procedure.
Cite
@article{arxiv.1807.05979,
title = {Lesion Analysis and Diagnosis with Mask-RCNN},
author = {Andrey Sorokin},
journal= {arXiv preprint arXiv:1807.05979},
year = {2018}
}
Comments
4 pages, 4 figures, ISIC 2018 challenge
Related papers
View all related →
Computer Vision and Pattern Recognition · Computer Science
A Detection and Segmentation Architecture for Skin Lesion Segmentation on Dermoscopy Images
Chengyao Qian, Ting Liu, Hao Jiang, Zhe Wang +3
2018-10-02
Computer Vision and Pattern Recognition · Computer Science
Lesion segmentation using U-Net network
Adrien Motsch, Sebastien Motsch, Thibaut Saguet
2018-07-25
Image and Video Processing · Electrical Eng. & Systems
Skin Lesion Segmentation and Classification for ISIC 2018 Using Traditional Classifiers with Hand-Crafted Features
Russell C. Hardie, Redha Ali, Manawaduge Supun De Silva, Temesguen Messay Kebede
2018-07-19
Computer Vision and Pattern Recognition · Computer Science
Skin Lesion Analysis Towards Melanoma Detection via End-to-end Deep Learning of Convolutional Neural Networks
Katherine M. Li, Evelyn C. Li
2018-07-24
Computer Vision and Pattern Recognition · Computer Science
Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting
Nils Gessert, Thilo Sentker, Frederic Madesta, Rüdiger Schmitz +4
2018-08-07
Computer Vision and Pattern Recognition · Computer Science
Automatic Skin Lesion Segmentation Using Deep Fully Convolutional Networks
Hongming Xu, Tae Hyun Hwang
2018-07-18
Computer Vision and Pattern Recognition · Computer Science
ISIC 2017 - Skin Lesion Analysis Towards Melanoma Detection
Matt Berseth
2017-03-03
Computer Vision and Pattern Recognition · Computer Science
A Multi-task Framework for Skin Lesion Detection and Segmentation
Sulaiman Vesal, Shreyas Malakarjun Patil, Nishant Ravikumar, Andreas Maier
2019-02-26
Image and Video Processing · Electrical Eng. & Systems
Skin Lesion Segmentation and Classification for ISIC 2018 by Combining Deep CNN and Handcrafted Features
Redha Ali, Russell C. Hardie, Manawaduge Supun De Silva, Temesguen Messay Kebede
2019-08-19
Computer Vision and Pattern Recognition · Computer Science
ISIC 2018-A Method for Lesion Segmentation
Hongdiao Wen, Rongjian Xu, Tie Zhang
2018-07-24
Computer Vision and Pattern Recognition · Computer Science
Dermoscopic Image Analysis for ISIC Challenge 2018
Jinyi Zou, Xiao Ma, Cheng Zhong, Yao Zhang
2018-07-25
Computer Vision and Pattern Recognition · Computer Science
ISIC 2017 Skin Lesion Segmentation Using Deep Encoder-Decoder Network
Ngoc-Quang Nguyen
2018-07-25
Computer Vision and Pattern Recognition · Computer Science
k-Means Clustering and Ensemble of Regressions: An Algorithm for the ISIC 2017 Skin Lesion Segmentation Challenge
David Alvarez, Monica Iglesias
2017-03-02
Computer Vision and Pattern Recognition · Computer Science
Mask R-CNN
Kaiming He, Georgia Gkioxari, Piotr Dollár, Ross Girshick
2018-01-25
Image and Video Processing · Electrical Eng. & Systems
Skin Lesion Classification Using Deep Neural Network
Alla Eddine Guissous
2019-11-19
Computer Vision and Pattern Recognition · Computer Science
Skin Lesion Classification Using Ensembles of Multi-Resolution EfficientNets with Meta Data
Nils Gessert, Maximilian Nielsen, Mohsin Shaikh, René Werner +1
2019-10-10
Computer Vision and Pattern Recognition · Computer Science
Skin Lesion Analysis Towards Melanoma Detection Using Deep Learning Network
Yuexiang Li, Linlin Shen
2017-11-23
Computer Vision and Pattern Recognition · Computer Science
Skin lesion segmentation using U-Net and good training strategies
Fred Guth, Teofilo E. deCampos
2018-11-29
Computer Vision and Pattern Recognition · Computer Science
Segmentation of Skin Lesions and their Attributes Using Multi-Scale Convolutional Neural Networks and Domain Specific Augmentations
Mostafa Jahanifar, Neda Zamani Tajeddin, Navid Alemi Koohbanani, Ali Gooya +1
2019-04-01
Computer Vision and Pattern Recognition · Computer Science
Deep-Learning Ensembles for Skin-Lesion Segmentation, Analysis, Classification: RECOD Titans at ISIC Challenge 2018
Alceu Bissoto, Fábio Perez, Vinícius Ribeiro, Michel Fornaciali +2
2018-08-28
Computer Vision and Pattern Recognition · Computer Science
A New Mask R-CNN Based Method for Improved Landslide Detection
Silvia Liberata Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ejaz Ahamed +3
2020-10-06
Computer Vision and Pattern Recognition · Computer Science
Automatic segmentation of skin lesions using deep learning
Joshua Peter Ebenezer, Jagath C. Rajapakse
2018-07-16
Computer Vision and Pattern Recognition · Computer Science
Automatic skin lesion segmentation with fully convolutional-deconvolutional networks
Yading Yuan
2018-03-23
Computer Vision and Pattern Recognition · Computer Science
MaskPlus: Improving Mask Generation for Instance Segmentation
Shichao Xu, Shuyue Lan, Qi Zhu
2019-09-30
Image and Video Processing · Electrical Eng. & Systems
Mask2Lesion: Mask-Constrained Adversarial Skin Lesion Image Synthesis
Kumar Abhishek, Ghassan Hamarneh
2019-07-16