Cutaneous spindle cell (CSC) neoplasms are a notoriously challenging diagnostic group within the spectrum of skin malignancies. While specialized CSC neoplasm datasets like AI4SKIN have enabled the development of AI whole-slide image (WSI) classification methods, these methods are largely constrained by closed-set de...
F. J. Sáez-Maldonado, J. Mateos, Pablo Meseguer Esbri et al.· Scientific Data· 0 citations
Pathology foundation models (PFMs) have transformed computational pathology through powerful representation learning from histopathological images. PFMs provide rich, discriminative representations for whole slide image (WSI) analysis, enabling tasks such as slide-level classification under multiple instance learning (...
I. Carretero, Pablo Meseguer Esbri, R. del Amor et al.· 0 citations
This work introduces Orthonormal Prototype Alignment Learning (OPAL), a single-stage, end-to-end framework that simplifies interpretable classification by framing classification as a direct representation alignment task, and eliminates the need for auxiliary losses.
I. Carretero, G. Angulo, R. del Amor et al.· 0 citations
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