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An Incremental Learning Approach to Automatically Recognize Pulmonary
  Diseases from the Multi-vendor Chest Radiographs

An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs

7 January 2022
Mehreen Sirshar
Taimur Hassan
M. Akram
S. Khan
ArXivPDFHTML

Papers citing "An Incremental Learning Approach to Automatically Recognize Pulmonary Diseases from the Multi-vendor Chest Radiographs"

19 / 19 papers shown
Title
Unsupervised Anomaly Instance Segmentation for Baggage Threat
  Recognition
Unsupervised Anomaly Instance Segmentation for Baggage Threat Recognition
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
Naoufel Werghi
36
34
0
15 Jul 2021
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion
  Cells Aware Grading of Glaucomatous Progression
Clinically Verified Hybrid Deep Learning System for Retinal Ganglion Cells Aware Grading of Glaucomatous Progression
H. Raja
Taimur Hassan
M. Akram
Naoufel Werghi
48
38
0
08 Oct 2020
Trainable Structure Tensors for Autonomous Baggage Threat Detection
  Under Extreme Occlusion
Trainable Structure Tensors for Autonomous Baggage Threat Detection Under Extreme Occlusion
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
Naoufel Werghi
50
40
0
28 Sep 2020
Cascaded Structure Tensor Framework for Robust Identification of Heavily
  Occluded Baggage Items from X-ray Scans
Cascaded Structure Tensor Framework for Robust Identification of Heavily Occluded Baggage Items from X-ray Scans
Taimur Hassan
S. Akçay
Bennamoun
Salman Khan
Naoufel Werghi
35
19
0
14 Apr 2020
Covid-19: Automatic detection from X-Ray images utilizing Transfer
  Learning with Convolutional Neural Networks
Covid-19: Automatic detection from X-Ray images utilizing Transfer Learning with Convolutional Neural Networks
Ioannis D. Apostolopoulos
Tzani Bessiana
66
1,915
0
25 Mar 2020
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint
  Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on
  Periocular Region Suppression
SIP-SegNet: A Deep Convolutional Encoder-Decoder Network for Joint Semantic Segmentation and Extraction of Sclera, Iris and Pupil based on Periocular Region Suppression
Bilal Hassan
Ramsha Ahmed
Taimur Hassan
Naoufel Werghi
59
17
0
15 Feb 2020
Contrastive Representation Distillation
Contrastive Representation Distillation
Yonglong Tian
Dilip Krishnan
Phillip Isola
141
1,045
0
23 Oct 2019
Class-incremental Learning via Deep Model Consolidation
Class-incremental Learning via Deep Model Consolidation
Junting Zhang
Jie Zhang
Shalini Ghosh
Dawei Li
Serafettin Tasci
Larry Heck
Heming Zhang
C.-C. Jay Kuo
CLL
55
338
0
19 Mar 2019
Efficient Lifelong Learning with A-GEM
Efficient Lifelong Learning with A-GEM
Arslan Chaudhry
MarcÁurelio Ranzato
Marcus Rohrbach
Mohamed Elhoseiny
CLL
188
1,449
0
02 Dec 2018
End-to-End Incremental Learning
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
85
1,153
0
25 Jul 2018
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for
  Incremental Learning
Tree-CNN: A Hierarchical Deep Convolutional Neural Network for Incremental Learning
Deboleena Roy
Priyadarshini Panda
Kaushik Roy
BDL
OOD
CLL
68
213
0
15 Feb 2018
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep
  Learning
CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning
Pranav Rajpurkar
Jeremy Irvin
Kaylie Zhu
Brandon Yang
Hershel Mehta
...
Aarti Bagul
C. Langlotz
K. Shpanskaya
M. Lungren
A. Ng
LM&MA
78
2,696
0
14 Nov 2017
Incremental Learning Through Deep Adaptation
Incremental Learning Through Deep Adaptation
Amir Rosenfeld
John K. Tsotsos
CLL
51
277
0
11 May 2017
Expert Gate: Lifelong Learning with a Network of Experts
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi
Punarjay Chakravarty
Tinne Tuytelaars
CLL
75
658
0
18 Nov 2016
Less-forgetting Learning in Deep Neural Networks
Less-forgetting Learning in Deep Neural Networks
Heechul Jung
Jeongwoo Ju
Minju Jung
Junmo Kim
95
228
0
01 Jul 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
282
4,391
0
29 Jun 2016
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
137
1,439
0
21 Dec 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
132
6,623
0
22 Dec 2012
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
224
12,422
0
24 Jun 2012
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