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Fast and Accurate Tumor Segmentation of Histology Images using
  Persistent Homology and Deep Convolutional Features

Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features

9 May 2018
Talha Qaiser
Yee Wah Tsang
D. Taniyama
Naoya Sakamoto
Kazuaki Nakane
David B. A. Epstein
Nasir M. Rajpoot
ArXiv (abs)PDFHTML

Papers citing "Fast and Accurate Tumor Segmentation of Histology Images using Persistent Homology and Deep Convolutional Features"

31 / 31 papers shown
Title
PathoPainter: Augmenting Histopathology Segmentation via Tumor-aware Inpainting
Hong Liu
Haosen Yang
Evi M. C. Huijben
Mark Schuiveling
Ruisheng Su
J. Pluim
M. Veta
MedIm
98
1
0
06 Mar 2025
PI-Att: Topology Attention for Segmentation Networks through Adaptive
  Persistence Image Representation
PI-Att: Topology Attention for Segmentation Networks through Adaptive Persistence Image Representation
Mehmet Bahadir Erden
S. Unver
I. A. Gurses
R. Turkay
C. Gunduz-Demir
73
0
0
15 Aug 2024
Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and
  Multi-Lens Distortion
Segmentation of Non-Small Cell Lung Carcinomas: Introducing DRU-Net and Multi-Lens Distortion
Soroush Oskouei
Marit Valla
André Pedersen
Erik Smistad
V. G. Dale
...
T. Langø
M. Ramnefjell
L. A. Akslen
Gabriel Kiss
H. Sorger
80
0
0
20 Jun 2024
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for
  histopathology whole-slide images
WSI-SAM: Multi-resolution Segment Anything Model (SAM) for histopathology whole-slide images
Hong Liu
Haosen Yang
P. Diest
J. Pluim
M. Veta
VLM
90
8
0
14 Mar 2024
Train-Free Segmentation in MRI with Cubical Persistent Homology
Train-Free Segmentation in MRI with Cubical Persistent Homology
Anton François
Raphael Tinarrage
3DV
57
2
0
02 Jan 2024
PHG-Net: Persistent Homology Guided Medical Image Classification
PHG-Net: Persistent Homology Guided Medical Image Classification
Yao Peng
Hongxiao Wang
Milan Sonka
Danny Z. Chen
59
4
0
28 Nov 2023
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed
  Tomography Images
Topology-Aware Loss for Aorta and Great Vessel Segmentation in Computed Tomography Images
Seher Ozcelik
S. Unver
I. A. Gurses
R. Turkay
Cigdem Demir
75
1
0
06 Jul 2023
A fast topological approach for predicting anomalies in time-varying
  graphs
A fast topological approach for predicting anomalies in time-varying graphs
Umar Islambekov
Hasani Pathirana
O. Khormali
Cüneyt Gürcan Akçora
Ekaterina Smirnova
51
1
0
11 May 2023
Topology-Aware Focal Loss for 3D Image Segmentation
Topology-Aware Focal Loss for 3D Image Segmentation
Andac Demir
Elie Massaad
B. Kiziltan
73
9
0
24 Apr 2023
Masked Pre-Training of Transformers for Histology Image Analysis
Masked Pre-Training of Transformers for Histology Image Analysis
Shuai Jiang
Liesbeth Hondelink
A. Suriawinata
Saeed Hassanpour
MedIm
57
18
0
14 Apr 2023
Consistency Regularisation in Varying Contexts and Feature Perturbations
  for Semi-Supervised Semantic Segmentation of Histology Images
Consistency Regularisation in Varying Contexts and Feature Perturbations for Semi-Supervised Semantic Segmentation of Histology Images
R. M. S. Bashir
Talha Qaiser
S. Raza
Nasir M. Rajpoot
60
14
0
30 Jan 2023
Rethinking Persistent Homology for Visual Recognition
Rethinking Persistent Homology for Visual Recognition
Ekaterina Khramtsova
Guido Zuccon
Xi Wang
Mahsa Baktashmotlagh
40
5
0
09 Jul 2022
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion
  Characterization with Large-scale Web Image Mining
Glo-In-One: Holistic Glomerular Detection, Segmentation, and Lesion Characterization with Large-scale Web Image Mining
Tianyuan Yao
Yuzhe Lu
Jun Long
Aadarsh Jha
Zheyu Zhu
Zuhayr Asad
Haichun Yang
Agnes B. Fogo
Yuankai Huo
81
10
0
31 May 2022
A review of machine learning approaches, challenges and prospects for
  computational tumor pathology
A review of machine learning approaches, challenges and prospects for computational tumor pathology
Liangrui Pan
Zhichao Feng
Shaoliang Peng
AI4CE
74
7
0
31 May 2022
AI-based Carcinoma Detection and Classification Using Histopathological
  Images: A Systematic Review
AI-based Carcinoma Detection and Classification Using Histopathological Images: A Systematic Review
Swathi C. Prabhu
K. Prasad
Antonio Robels-Kelly
Xuequan Lu
108
40
0
18 Jan 2022
Hybrid guiding: A multi-resolution refinement approach for semantic
  segmentation of gigapixel histopathological images
Hybrid guiding: A multi-resolution refinement approach for semantic segmentation of gigapixel histopathological images
André Pedersen
Erik Smistad
T. V. Rise
V. G. Dale
H. S. Pettersen
T. Nordmo
D. Bouget
Ingerid Reinertsen
Marit Valla
67
3
0
07 Dec 2021
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic
  Segmentation using Patch-level Classification Labels
Multi-Layer Pseudo-Supervision for Histopathology Tissue Semantic Segmentation using Patch-level Classification Labels
Chu Han
Jiatai Lin
Jinhai Mai
Yi Wang
Qingling Zhang
...
Zeyan Xu
Xiaomei Huang
Guoqiang Han
Chang-xiu Liang
Zaiyi Liu
97
99
0
14 Oct 2021
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning
  Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
Self-Rule to Multi-Adapt: Generalized Multi-source Feature Learning Using Unsupervised Domain Adaptation for Colorectal Cancer Tissue Detection
C. Abbet
Linda Studer
Andreas Fischer
H. Dawson
I. Zlobec
Behzad Bozorgtabar
Jean-Philippe Thiran
OOD
94
34
0
20 Aug 2021
SRPN: similarity-based region proposal networks for nuclei and cells
  detection in histology images
SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images
Yibao Sun
Xingru Huang
Huiyu Zhou
Qianni Zhang
75
33
0
25 Jun 2021
A digital score of tumour-associated stroma infiltrating lymphocytes
  predicts survival in head and neck squamous cell carcinoma
A digital score of tumour-associated stroma infiltrating lymphocytes predicts survival in head and neck squamous cell carcinoma
Muhammad Shaban
S. Raza
Maria Hassan
A. Jamshed
S. Mushtaq
...
N. Sharma
M. Robinson
H. Mehanna
S. Khurram
Nasir M. Rajpoot
17
32
0
16 Apr 2021
Classification of COVID-19 via Homology of CT-SCAN
Classification of COVID-19 via Homology of CT-SCAN
S. Iqbal
H. Ahmed
Talha Qaiser
M. I. Qureshi
Nasir M. Rajpoot
57
4
0
21 Feb 2021
Cycle Registration in Persistent Homology with Applications in
  Topological Bootstrap
Cycle Registration in Persistent Homology with Applications in Topological Bootstrap
Yohai Reani
O. Bobrowski
145
25
0
03 Jan 2021
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer
  Histology Images
SAFRON: Stitching Across the Frontier for Generating Colorectal Cancer Histology Images
Srijay Deshpande
F. Minhas
S. Graham
Nasir M. Rajpoot
MedIm
46
8
0
11 Aug 2020
A deep learning based multiscale approach to segment cancer area in
  liver whole slide image
A deep learning based multiscale approach to segment cancer area in liver whole slide image
Yanbo Feng
A. Hafiane
H. Laurent
MedIm
44
3
0
25 Jul 2020
MeDaS: An open-source platform as service to help break the walls
  between medicine and informatics
MeDaS: An open-source platform as service to help break the walls between medicine and informatics
Liang Zhang
Johann Li
Ping Li
Xiaoyuan Lu
Peiyi Shen
Guangming Zhu
Syed Afaq Ali Shah
Bennamoun
Kun Qian
Björn W. Schuller
MedIm
59
6
0
12 Jul 2020
Deep neural network models for computational histopathology: A survey
Deep neural network models for computational histopathology: A survey
C. Srinidhi
Ozan Ciga
Anne L. Martel
AI4CE
162
582
0
28 Dec 2019
Large-scale Gastric Cancer Screening and Localization Using Multi-task
  Deep Neural Network
Large-scale Gastric Cancer Screening and Localization Using Multi-task Deep Neural Network
Hong Yu
Xiaofan Zhang
Ling-Jun Song
Liren Jiang
Xiaodi Huang
...
Weiwei Sun
Yangqiong Zhang
Guangyi Peng
Weiwei Shen
Guohui Fu
73
13
0
09 Oct 2019
PathologyGAN: Learning deep representations of cancer tissue
PathologyGAN: Learning deep representations of cancer tissue
A. Quiros
R. Murray-Smith
Ke-Fei Yuan
MedImGAN
95
86
0
04 Jul 2019
Learning Where to See: A Novel Attention Model for Automated
  Immunohistochemical Scoring
Learning Where to See: A Novel Attention Model for Automated Immunohistochemical Scoring
Talha Qaiser
Nasir M. Rajpoot
62
71
0
26 Mar 2019
Stable Topological Summaries for Analyzing the Organization of Cells in
  a Packed Tissue
Stable Topological Summaries for Analyzing the Organization of Cells in a Packed Tissue
N. Atienza
M. Jiménez
M. Soriano-Trigueros
16
4
0
18 Feb 2019
An introduction to Topological Data Analysis: fundamental and practical
  aspects for data scientists
An introduction to Topological Data Analysis: fundamental and practical aspects for data scientists
Frédéric Chazal
Bertrand Michel
107
598
0
11 Oct 2017
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