3 papers
cs.CV2023
Computer-Aided Cytology Diagnosis in Animals: CNN-Based Image Quality Assessment for Accurate Disease Classification
Jan Krupiński, Maciej Wielgosz, Szymon Mazurek +12
This paper presents a computer-aided cytology diagnosis system designed for animals, focusing on image quality assessment (IQA) using Convolutional Neural Networks (CNNs). The syst…
cs.LG2023
Using simulation to calibrate real data acquisition in veterinary medicine
Krystian Strzałka, Szymon Mazurek, Maciej Wielgosz +12
This paper explores the innovative use of simulation environments to enhance data acquisition and diagnostics in veterinary medicine, focusing specifically on gait analysis in dogs…
cs.CV2023
Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis
Jakub Grzeszczyk, Michał Karwatowski, Daria Łukasik +11
This paper shows the machine learning system which performs instance segmentation of cytological images in veterinary medicine. Eleven cell types were used directly and indirectly…