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Reliable Tuberculosis Detection using Chest X-ray with Deep Learning,
  Segmentation and Visualization

Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization

29 July 2020
Tawsifur Rahman
Amith Khandakar
M. A. Kadir
K. R. Islam
Khandaker F. Islam
Rashid Mazhar
Tahir Hamid
M. Islam
Z. Mahbub
M. Ayari
M. Chowdhury
ArXivPDFHTML

Papers citing "Reliable Tuberculosis Detection using Chest X-ray with Deep Learning, Segmentation and Visualization"

14 / 14 papers shown
Title
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
Novel Pooling-based VGG-Lite for Pneumonia and Covid-19 Detection from Imbalanced Chest X-Ray Datasets
Santanu Roy
Ashvath Suresh
Palak Sahu
Tulika Rudra Gupta
29
0
0
10 Apr 2025
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation
DCAT: Dual Cross-Attention Fusion for Disease Classification in Radiological Images with Uncertainty Estimation
Jutika Borah
H. Singh
MedIm
45
0
0
14 Mar 2025
Pulmonary Tuberculosis Edge Diagnosis System Based on MindSpore Framework: Low-cost and High-precision Implementation with Ascend 310 Chip
Pulmonary Tuberculosis Edge Diagnosis System Based on MindSpore Framework: Low-cost and High-precision Implementation with Ascend 310 Chip
HaoYu Li
65
0
0
24 Feb 2025
A Tale of Two Imperatives: Privacy and Explainability
A Tale of Two Imperatives: Privacy and Explainability
Supriya Manna
Niladri Sett
121
0
0
30 Dec 2024
Few-Shot Learning Approach on Tuberculosis Classification Based on Chest
  X-Ray Images
Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
A.A.G. Yogi Pramana
Faiz Ihza Permana
Muhammad Fazil Maulana
D. Fudholi
16
2
0
18 Sep 2024
Redefining Contributions: Shapley-Driven Federated Learning
Redefining Contributions: Shapley-Driven Federated Learning
Nurbek Tastan
Samar Fares
Toluwani Aremu
Samuel Horváth
Karthik Nandakumar
FedML
41
5
0
01 Jun 2024
How much data do I need? A case study on medical data
How much data do I need? A case study on medical data
Ayse Betul Cengiz
A. Mcgough
16
2
0
26 Nov 2023
On enhancing the robustness of Vision Transformers: Defensive Diffusion
On enhancing the robustness of Vision Transformers: Defensive Diffusion
Raza Imam
Muhammad Huzaifa
Mohammed El-Amine Azz
MedIm
DiffM
41
5
0
14 May 2023
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision
  Research
NEVIS'22: A Stream of 100 Tasks Sampled from 30 Years of Computer Vision Research
J. Bornschein
Alexandre Galashov
Ross Hemsley
Amal Rannen-Triki
Yutian Chen
...
Angeliki Lazaridou
Yee Whye Teh
Andrei A. Rusu
Razvan Pascanu
MarcÁurelio Ranzato
OOD
VLM
AI4TS
39
16
0
15 Nov 2022
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image
  Classification
Self-Ensembling Vision Transformer (SEViT) for Robust Medical Image Classification
Faris Almalik
Mohammad Yaqub
Karthik Nandakumar
ViT
AAML
MedIm
29
33
0
04 Aug 2022
RamanNet: A generalized neural network architecture for Raman Spectrum
  Analysis
RamanNet: A generalized neural network architecture for Raman Spectrum Analysis
Nabil Ibtehaz
M. Chowdhury
Amith Khandakar
S. Zughaier
S. Kiranyaz
Mohammad Sohel Rahman
8
23
0
20 Jan 2022
Class dependency based learning using Bi-LSTM coupled with the transfer
  learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays
Class dependency based learning using Bi-LSTM coupled with the transfer learning of VGG16 for the diagnosis of Tuberculosis from chest x-rays
G. Jignesh Chowdary
G. Suganya
M. Premalatha
K. Karunamurthy
29
6
0
19 Jul 2021
A Machine Learning Model for Early Detection of Diabetic Foot using
  Thermogram Images
A Machine Learning Model for Early Detection of Diabetic Foot using Thermogram Images
Amith Khandakar
M. Chowdhury
M. Reaz
S. Ali
Md. Anwarul Hasan
S. Kiranyaz
Tawsifur Rahman
R. Alfkey
A. Bakar
R. Malik
29
96
0
27 Jun 2021
QUCoughScope: An Artificially Intelligent Mobile Application to Detect
  Asymptomatic COVID-19 Patients using Cough and Breathing Sounds
QUCoughScope: An Artificially Intelligent Mobile Application to Detect Asymptomatic COVID-19 Patients using Cough and Breathing Sounds
M. Chowdhury
Nabil Ibtehaz
Tawsifur Rahman
Y. Mekki
Yazan Qibalwey
S. Mahmud
Maymouna Ezeddin
S. Zughaier
S. Al-Máadeed
23
28
0
20 Mar 2021
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