A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation

18 October 2018

Papers citing "A Novel Focal Tversky loss function with improved Attention U-Net for lesion segmentation"

50 / 150 papers shown

Title
Self-supervised Lesion Change Detection and Localisation in Longitudinal Multiple Sclerosis Brain Imaging Minh Nguyen Nhat To Ian G Sarno Chee Chong M. Jenkinson G. Carneiro MedIm 36 7 0 02 Jun 2021
Recent advances and clinical applications of deep learning in medical image analysis Xuxin Chen Ximing Wang Kecheng Zhang K. Fung T. Thai K. Moore Robert S. Mannel Hong Liu B. Zheng Y. Qiu OOD 18 572 0 27 May 2021
SemSegLoss: A python package of loss functions for semantic segmentation Shruti Jadon SSeg VLM 27 9 0 18 May 2021
Focus U-Net: A novel dual attention-gated CNN for polyp segmentation during colonoscopy Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 24 121 0 16 May 2021
Every Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation Simon Reiß C. Seibold Alexander Freytag E. Rodner Rainer Stiefelhagen 89 61 0 27 Apr 2021
Artificial Intelligence in Tumor Subregion Analysis Based on Medical Imaging: A Review Mingquan Lin Jacob F. Wynne Y. Lei Tonghe Wang W. Curran Tian Liu Xiaofeng Yang 35 24 0 25 Mar 2021
Classification of Breast Cancer Lesions in Ultrasound Images by using Attention Layer and loss Ensembles in Deep Convolutional Neural Networks E. Y. Kalafi Ata Jodeiri S. Setarehdan Ng Wei Lin Kartini Binti Rahman N. Taib S. K. Dhillon 14 37 0 23 Feb 2021
Improved Semantic Segmentation of Tuberculosis-consistent findings in Chest X-rays Using Augmented Training of Modality-specific U-Net Models with Weak Localizations S. Rajaraman L. Folio Jane Dimperio P. Alderson Sameer Kiran Antani 14 1 0 21 Feb 2021
Analyzing Overfitting under Class Imbalance in Neural Networks for Image Segmentation Zeju Li Konstantinos Kamnitsas Ben Glocker SSeg UQCV 20 127 0 20 Feb 2021
Mediastinal lymph nodes segmentation using 3D convolutional neural network ensembles and anatomical priors guiding D. Bouget André Pedersen J. Vanel H. O. Leira T. Langø 20 27 0 11 Feb 2021
Unified Focal loss: Generalising Dice and cross entropy-based losses to handle class imbalanced medical image segmentation Michael Yeung Evis Sala Carola-Bibiane Schönlieb L. Rundo 32 394 0 08 Feb 2021
TricycleGAN: Unsupervised Image Synthesis and Segmentation Based on Shape Priors Umaseh Sivanesan Luis H. Braga R. Sonnadara Kiret Dhindsa GAN MedIm 19 2 0 04 Feb 2021
Chest X-ray lung and heart segmentation based on minimal training sets B. Maga 9 6 0 20 Jan 2021
Meningioma segmentation in T1-weighted MRI leveraging global context and attention mechanisms D. Bouget André Pedersen Sayied Abdol Mohieb Hosainey O. Solheim Ingerid Reinertsen 50 24 0 19 Jan 2021
CovTANet: A Hybrid Tri-level Attention Based Network for Lesion Segmentation, Diagnosis, and Severity Prediction of COVID-19 Chest CT Scans Tanvir Mahmud Md. Jahin Alam Sakib Chowdhury Shams Nafisa Ali Md. Maisoon Rahman Shaikh Anowarul Fattah Mohammad Saquib 15 37 0 03 Jan 2021
CovSegNet: A Multi Encoder-Decoder Architecture for Improved Lesion Segmentation of COVID-19 Chest CT Scans Tanvir Mahmud Md Awsafur Rahman S. Fattah S. Kung MedIm 14 21 0 02 Dec 2020
SFTrack++: A Fast Learnable Spectral Segmentation Approach for Space-Time Consistent Tracking Elena Burceanu VOS 12 0 0 27 Nov 2020
Planar 3D Transfer Learning for End to End Unimodal MRI Unbalanced Data Segmentation M. Kolarík Radim Burget C. Travieso-González J. Kocica 11 6 0 23 Nov 2020
Distribution-aware Margin Calibration for Medical Image Segmentation Zhibin Li Litao Yu Jian Zhang 19 1 0 03 Nov 2020
U-Net and its variants for medical image segmentation: theory and applications N. Siddique Sidike Paheding Colin P. Elkin Vijay Devabhaktuni SSeg 25 1,044 0 02 Nov 2020
A Dilated Residual Hierarchically Fashioned Segmentation Framework for Extracting Gleason Tissues and Grading Prostate Cancer from Whole Slide Images Taimur Hassan Bilal Hassan A. El-Baz Naoufel Werghi 29 10 0 01 Nov 2020
Matthews Correlation Coefficient Loss for Deep Convolutional Networks: Application to Skin Lesion Segmentation Kumar Abhishek Ghassan Hamarneh 18 31 0 26 Oct 2020
Semi-supervised Pathology Segmentation with Disentangled Representations Haochuan Jiang A. Chartsias Xinheng Zhang G. Papanastasiou S. Semple M. Dweck David Semple R. Dharmakumar Sotirios A. Tsaftaris 26 5 0 05 Sep 2020
Brain Stroke Lesion Segmentation Using Consistent Perception Generative Adversarial Network Shuqiang Wang Zhuo Chen Wen Yu Baiying Lei GAN MedIm 17 61 0 30 Aug 2020
DONet: Dual Objective Networks for Skin Lesion Segmentation Yaxiong Wang Yunchao Wei Xueming Qian Li Zhu Yi Yang MedIm 11 6 0 19 Aug 2020
Training CNN Classifiers for Semantic Segmentation using Partially Annotated Images: with Application on Human Thigh and Calf MRI C. Wong S. Marchesseau M. Kalimeri Tiang Siew Yap Serena S. H. Teo ... C. Khoo Philip T. H. Lee M. Leow J. Totman M. Stephenson 6 0 0 16 Aug 2020
HATNet: An End-to-End Holistic Attention Network for Diagnosis of Breast Biopsy Images Sachin Mehta Ximing Lu D. Weaver J. Elmore Hannaneh Hajishirzi Linda G. Shapiro 28 5 0 25 Jul 2020
Predicting Clinical Outcomes in COVID-19 using Radiomics and Deep Learning on Chest Radiographs: A Multi-Institutional Study Joseph Bae S. Kapse Gagandeep Singh Rishabh Gattu S. Ali ... T. Phatak Amit Gupta Jeremy Green N. Madan Prateek Prasanna 9 0 0 15 Jul 2020
Interactive Deep Refinement Network for Medical Image Segmentation Titinunt Kitrungrotsakul Yutaro Iwamoto Lanfen Lin Ruofeng Tong Jingsong Li Yenwei Chen SSeg 14 7 0 27 Jun 2020
A survey of loss functions for semantic segmentation Shruti Jadon SSeg 35 823 0 26 Jun 2020
DS6, Deformation-aware Semi-supervised Learning: Application to Small Vessel Segmentation with Noisy Training Data S. Chatterjee Kartik Prabhu Mahantesh Pattadkal Gerda Bortsova Chompunuch Sarasaen Florian Dubost Hendrik Mattern Marleen de Bruijne Oliver Speck Andreas Nürnberger 24 18 0 18 Jun 2020
A comparative study of 2D image segmentation algorithms for traumatic brain lesions using CT data from the ProTECTIII multicenter clinical trial Shruti Jadon Owen P. Leary I. Pan Tyler Harder D. Wright Lisa H. Merck D. Merck 22 27 0 01 Jun 2020
Segmentation Loss Odyssey Jun Ma SSeg VLM MedIm 16 39 0 27 May 2020
Learning Tversky Similarity J. Rahnama Eyke Hüllermeier 16 5 0 27 May 2020
Prediction of Thrombectomy Functional Outcomes using Multimodal Data Zeynel A. Samak Philip Clatworthy Majid Mirmehdi 16 18 0 26 May 2020
FU-net: Multi-class Image Segmentation Using Feedback Weighted U-net M. Jafari Ruizhe Li Yue Xing Dorothee Auer S. Francis J. Garibaldi Xin Chen SSeg 14 14 0 28 Apr 2020
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image Segmentation M. Jafari Dorothee Auer S. Francis J. Garibaldi Xin Chen SSeg MedIm 13 59 0 28 Apr 2020
Multi-Scale Supervised 3D U-Net for Kidneys and Kidney Tumor Segmentation Wenshuai Zhao Dihong Jiang Jorge Peña Queralta Tomi Westerlund SSeg 13 68 0 17 Apr 2020
An automatic COVID-19 CT segmentation network using spatial and channel attention mechanism Tongxue Zhou S. Canu S. Ruan 18 54 0 14 Apr 2020
Attention U-Net Based Adversarial Architectures for Chest X-ray Lung Segmentation Gusztáv Gaál B. Maga András Lukács MedIm 6 133 0 23 Mar 2020
Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images Kumar Abhishek Ghassan Hamarneh M. S. Drew 32 36 0 23 Mar 2020
CHAOS Challenge -- Combined (CT-MR) Healthy Abdominal Organ Segmentation A. Emre Kavur N. Gezer M. Baris Sinem Aslan Pierre-Henri Conze ... Klaus H. Maier-Hein G. Akar Gözde B. Ünal O. Dicle M. Alper Selver 50 611 0 17 Jan 2020
VoteNet+ : An Improved Deep Learning Label Fusion Method for Multi-atlas Segmentation Zhipeng Ding Xu Han Marc Niethammer 8 14 0 01 Nov 2019
Penalizing small errors using an Adaptive Logarithmic Loss Chaitanya Kaul Nick E. Pears Hang Dai Roderick Murray-Smith S. Manandhar 22 9 0 22 Oct 2019
Attention Enriched Deep Learning Model for Breast Tumor Segmentation in Ultrasound Images Aleksandar Vakanski Min Xian Phoebe E. Freer 27 142 0 20 Oct 2019
More unlabelled data or label more data? A study on semi-supervised laparoscopic image segmentation Yunguan Fu M. Robu Bongjin Koo C. Schneider S. Laarhoven Danail Stoyanov B. Davidson Matthew J. Clarkson Yipeng Hu 4 20 0 20 Aug 2019
WPU-Net: Boundary Learning by Using Weighted Propagation in Convolution Network Boyuan Ma Chuni Liu Xiaoyan Wei Hao Wang Weihua Xue Haiyou Huang 14 15 0 22 May 2019
ResUNet-a: a deep learning framework for semantic segmentation of remotely sensed data F. Diakogiannis F. Waldner P. Caccetta Chen Wu SSeg 24 1,277 0 01 Apr 2019
Machine Learning on Biomedical Images: Interactive Learning, Transfer Learning, Class Imbalance, and Beyond N. Khan Nabila Abraham L. Guan 14 15 0 13 Feb 2019
Boundary loss for highly unbalanced segmentation H. Kervadec Jihene Bouchtiba Christian Desrosiers Eric Granger Jose Dolz Ismail Ben Ayed 13 475 0 17 Dec 2018