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Exploiting the Transferability of Deep Learning Systems Across
  Multi-modal Retinal Scans for Extracting Retinopathy Lesions
v1v2 (latest)

Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions

4 June 2020
Taimur Hassan
M. Akram
Naoufel Werghi
    MedIm
ArXiv (abs)PDFHTML

Papers citing "Exploiting the Transferability of Deep Learning Systems Across Multi-modal Retinal Scans for Extracting Retinopathy Lesions"

4 / 4 papers shown
Title
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image
  Segmentation
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation
Abhishek Srivastava
Debesh Jha
S. Chanda
Umapada Pal
Haavard D. Johansen
Dag Johansen
Michael A. Riegler
Sharib Ali
Pål Halvorsen
102
209
0
16 May 2021
FANet: A Feedback Attention Network for Improved Biomedical Image
  Segmentation
FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation
Nikhil Kumar Tomar
Debesh Jha
Michael A. Riegler
Haavard D. Johansen
Dag Johansen
J. Rittscher
Pål Halvorsen
Sharib Ali
MedIm
88
154
0
31 Mar 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
77
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
81
40
0
28 Sep 2020
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