14 citations · 19 across the 5 of their papers we have counts for
5 papers
-PCA: a building block for neural learning of identifiable linear transformations
Fahdi Kanavati, Lucy Katsnith, Masayuki Tsuneki
Linear principal component analysis (PCA) learns (semi-)orthogonal transformations by orienting the axes to maximize variance. Consequently, it can only identify orthogonal axes wh…
Inference of captions from histopathological patches
Masayuki Tsuneki, Fahdi Kanavati
Computational histopathology has made significant strides in the past few years, slowly getting closer to clinical adoption. One area of benefit would be the automatic generation o…
A deep learning model for gastric diffuse-type adenocarcinoma classification in whole slide images
Fahdi Kanavati, Masayuki Tsuneki
Gastric diffuse-type adenocarcinoma represents a disproportionately high percentage of cases of gastric cancers occurring in the young, and its relative incidence seems to be on th…
Partial transfusion: on the expressive influence of trainable batch norm parameters for transfer learning
Fahdi Kanavati, Masayuki Tsuneki
Transfer learning from ImageNet is the go-to approach when applying deep learning to medical images. The approach is either to fine-tune a pre-trained model or use it as a feature…
Deep learning models for gastric signet ring cell carcinoma classification in whole slide images
Fahdi Kanavati, Shin Ichihara, Michael Rambeau +3
Signet ring cell carcinoma (SRCC) of the stomach is a rare type of cancer with a slowly rising incidence. It tends to be more difficult to detect by pathologists mainly due to its…