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Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and
  Gleason Grading of Histopathology Images

Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images

25 December 2022
M. Behzadi
M. Madani
Hanzhang Wang
Jun Bai
Ankit Bhardwaj
A. Tarakanova
H. Yamase
Ga Hie Nam
S. Nabavi
    MedIm
ArXivPDFHTML

Papers citing "Weakly-Supervised Deep Learning Model for Prostate Cancer Diagnosis and Gleason Grading of Histopathology Images"

4 / 4 papers shown
Title
Classification of Gleason Grading in Prostate Cancer Histopathology
  Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision
  Mamba
Classification of Gleason Grading in Prostate Cancer Histopathology Images Using Deep Learning Techniques: YOLO, Vision Transformers, and Vision Mamba
Amin Malekmohammadi
Ali Badiezadeh
Seyed Mostafa Mirhassani
Parisa Gifani
Majid Vafaeezadeh
16
0
0
25 Sep 2024
Tissue Concepts: supervised foundation models in computational pathology
Tissue Concepts: supervised foundation models in computational pathology
Till Nicke
Jan Raphael Schaefer
Henning Hoefener
Friedrich Feuerhake
Dorit Merhof
Fabian Kiessling
Johannes Lotz
MedIm
39
0
0
05 Sep 2024
Graph Neural Networks in Histopathology: Emerging Trends and Future
  Directions
Graph Neural Networks in Histopathology: Emerging Trends and Future Directions
Siemen Brussee
Giorgio Buzzanca
Anne M.R. Schrader
Jesper Kers
53
8
0
18 Jun 2024
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision
  Applications
MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Andrew G. Howard
Menglong Zhu
Bo Chen
Dmitry Kalenichenko
Weijun Wang
Tobias Weyand
M. Andreetto
Hartwig Adam
3DH
948
20,471
0
17 Apr 2017
1