Feline soft tissue sarcomas: a review of the classification and histological grading, with comparison to human and canine

M Dobromylskyj - Animals, 2022 - mdpi.com
Simple Summary Soft tissue sarcomas are a common form of cancer arising in the skin and
connective tissues of domestic cats. Soft tissue sarcomas encompass a group of different …

Canine mammary tumor histopathological image classification via computer-aided pathology: an available dataset for imaging analysis

GP Burrai, A Gabrieli, M Polinas, C Murgia… - Animals, 2023 - mdpi.com
Simple Summary Digital pathology (DP) and computer-aided diagnosis (CAD) are rapidly
evolving fields that have great potential for improving the accuracy and efficiency of cancer …

Keeping pathologists in the loop and an adaptive F1-score threshold method for mitosis detection in canine perivascular wall tumours

T Rai, A Morisi, B Bacci, NJ Bacon, MJ Dark, T Aboellail… - Cancers, 2024 - mdpi.com
Simple Summary Performing a mitosis count (MC) is essential in grading canine Soft Tissue
Sarcoma (cSTS) and canine Perivascular Wall Tumours (cPWTs), although it is subject to …

[HTML][HTML] The digital revolution in veterinary pathology

K Ancheta, S Le Calvez, J Williams - Journal of Comparative Pathology, 2024 - Elsevier
For the past two centuries, the use of traditional light microscopy to examine tissues to make
diagnoses has remained relatively unchanged. While the fundamental concept of tissue …

Detection of necrosis in Digitised whole-slide images for better grading of canine soft-tissue Sarcomas using machine-learning

A Morisi, T Rai, NJ Bacon, SA Thomas, M Bober… - Veterinary …, 2023 - mdpi.com
Simple Summary Canine soft-tissue sarcomas are a group of tumours that arise from the
skin and subcutaneous connective tissue. The most common method used to predict the …

[PDF][PDF] Deep learning for necrosis and mitosis detection in canine soft tissue sarcoma whole slide images

TS Rai - 2023 - openresearch.surrey.ac.uk
Assessment of histology presented within tissue slides is an essential expert task
undertaken by pathologists to determine diagnosis and the aggressiveness of a tumour thus …

Effects of Primary Capsule Shapes and Sizes in Capsule Networks

W Tapper, G Carneiro, M Hussein, P Evans… - … Conference on Pattern …, 2024 - Springer
Capsule networks are a relatively unexplored type of neural network architecture that
preserve spatial information of the input by replacing the pooling layers with convolutional …

Investigating the potential of untrained convolutional layers and pruning in computational pathology

T Rai, I Papanikolaou, N Dave, A Morisi… - … 2023: Digital and …, 2023 - spiedigitallibrary.org
The effectiveness of untrained convolutional layers for feature extraction in a computational
pathology task using real-world data from a necrosis detection dataset is investigated. The …

Evaluating diffusion model generated synthetic histopathology image data against authentic digital pathology images

T Rai, C Gola, M Hernández… - … 2024: Digital and …, 2024 - spiedigitallibrary.org
This study explores the efficacy of diffusion probabilistic models for generating synthetic
histopathological images, specifically canine Perivascular Wall Tumours (cPWT), to …

Visual Language Model for Preclinical Toxicologic Liver Histopathology Assessment

Z Cheng, W Dai, J Sun - Proceedings of the First International Workshop …, 2024 - dl.acm.org
Preclinical drug safety assessment is a critical step in drug development that relies on time-
consuming manual histopathological examination, which is prone to high inter-observer …