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"Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep ..."

Fabi Prezja et al. (2023)

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DOI: 10.48550/ARXIV.2311.05799

access: open

type: Informal or Other Publication

metadata version: 2023-11-16

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  - journals/corr/abs-2311-05799
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  - https://dblp.org/rec/journals/corr/abs-2311-05799
Fabi Prezja, Leevi Annala, Sampsa Kiiskinen, Suvi Lahtinen, Timo Ojala:
Adaptive Variance Thresholding: A Novel Approach to Improve Existing Deep Transfer Vision Models and Advance Automatic Knee-Joint Osteoarthritis Classification. CoRR abs/2311.05799 (2023)

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