Development of a deep learning-based tool to assist wound classification

Development of a deep learning-based tool to assist wound classification

29 March 2023

Trista Pei-chun Chen

Papers citing "Development of a deep learning-based tool to assist wound classification"

11 / 11 papers shown

Title
Image Based Artificial Intelligence in Wound Assessment: A Systematic Review D. Anisuzzaman Chuanbo Wang Behrouz Rostami Sandeep Gopalakrishnan J. Niezgoda Zeyun Yu 43 65 0 15 Sep 2020
Multi-Task Learning as Multi-Objective Optimization Ozan Sener V. Koltun 161 1,282 0 10 Oct 2018
Deepwound: Automated Postoperative Wound Assessment and Surgical Site Surveillance through Convolutional Neural Networks Varun N. Shenoy Elizabeth Foster Lauren Aalami Bakar Majeed Oliver Aalami 20 39 0 11 Jul 2018
End-to-End Multi-Task Learning with Attention Shikun Liu Edward Johns Andrew J. Davison CVBM 53 1,052 0 28 Mar 2018
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction Yuan Gao Jiayi Ma Mingbo Zhao Wen Liu Alan Yuille 62 253 0 25 Jan 2018
DFUNet: Convolutional Neural Networks for Diabetic Foot Ulcer Classification Manu Goyal N. Reeves A. K. Davison S. Rajbhandari Jennifer Spragg Moi Hoon Yap 47 189 0 28 Nov 2017
Beyond Shared Hierarchies: Deep Multitask Learning through Soft Layer Ordering Elliot Meyerson Risto Miikkulainen MoE 67 93 0 31 Oct 2017
A Survey on Multi-Task Learning Yu Zhang Qiang Yang AIMat 600 2,228 0 25 Jul 2017
An Overview of Multi-Task Learning in Deep Neural Networks Sebastian Ruder CVBM 146 2,826 0 15 Jun 2017
Cross-stitch Networks for Multi-task Learning Ishan Misra Abhinav Shrivastava Abhinav Gupta M. Hebert 87 1,347 0 12 Apr 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015

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