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Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular
  Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation

Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation

18 May 2023
Syed Samiul Alam
Samiul Based Shuvo
Shams Nafisa Ali
F. Ahmed
Arbil Chakma
Yeonggul Jang
ArXivPDFHTML

Papers citing "Benchmarking Deep Learning Frameworks for Automated Diagnosis of Ocular Toxoplasmosis: A Comprehensive Approach to Classification and Segmentation"

3 / 3 papers shown
Title
VisionUnite: A Vision-Language Foundation Model for Ophthalmology
  Enhanced with Clinical Knowledge
VisionUnite: A Vision-Language Foundation Model for Ophthalmology Enhanced with Clinical Knowledge
Zihan Li
Diping Song
Zefeng Yang
Deming Wang
Fei Li
Xiulan Zhang
P. E. Kinahan
Yu Qiao
VLM
LM&MA
27
3
0
05 Aug 2024
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
342
36,437
0
25 Aug 2016
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
451
15,657
0
02 Nov 2015
1