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Adaptive Variance Thresholding: A Novel Approach to Improve Existing
  Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis
  Classification

Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification

10 November 2023
Fabi Prezja
L. Annala
Sampsa Kiiskinen
Suvi Lahtinen
Timo Ojala
ArXivPDFHTML

Papers citing "Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification"

2 / 2 papers shown
Title
Deep Fast Machine Learning Utils: A Python Library for Streamlined
  Machine Learning Prototyping
Deep Fast Machine Learning Utils: A Python Library for Streamlined Machine Learning Prototyping
Fabi Prezja
AI4CE
35
0
0
14 Sep 2024
Improving Performance in Colorectal Cancer Histology Decomposition using
  Deep and Ensemble Machine Learning
Improving Performance in Colorectal Cancer Histology Decomposition using Deep and Ensemble Machine Learning
Fabi Prezja
L. Annala
Sampsa Kiiskinen
Suvi Lahtinen
Timo Ojala
Pekka Ruusuvuori
Teijo Kuopio
19
12
0
25 Oct 2023
1