12 citations · 17 across the 15 of their papers we have counts for
5 papers · 1 filter
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…
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…
Chosen methods of improving small object recognition with weak recognizable features
Magdalena Stachoń, Marcin Pietroń
Many object detection models struggle with several problematic aspects of small object detection including the low number of samples, lack of diversity and low features representat…
Using Spatial Pooler of Hierarchical Temporal Memory to classify noisy videos with predefined complexity
Maciej Wielgosz, Marcin Pietroń
This paper examines the performance of a Spatial Pooler (SP) of a Hierarchical Temporal Memory (HTM) in the task of noisy object recognition. To address this challenge, a dedicated…
OpenCL-accelerated object classification in video streams using Spatial Pooler of Hierarchical Temporal Memory
Maciej Wielgosz, Marcin Pietroń
We present a method to classify objects in video streams using a brain-inspired Hierarchical Temporal Memory (HTM) algorithm. Object classification is a challenging task where huma…