Deep learning for computational cytology: A survey

H Jiang, Y Zhou, Y Lin, RCK Chan, J Liu, H Chen - Medical Image Analysis, 2023 - Elsevier
Computational cytology is a critical, rapid-developing, yet challenging topic in medical
image computing concerned with analyzing digitized cytology images by computer-aided …

What is the state of the art of computer vision-assisted cytology? A Systematic Literature Review

AV Matias, JGA Amorim, LAB Macarini… - … Medical Imaging and …, 2021 - Elsevier
Cytology is a low-cost and non-invasive diagnostic procedure employed to support the
diagnosis of a broad range of pathologies. Cells are harvested from tissues by aspiration or …

A CNN-based approach for joint segmentation and quantification of nuclei and NORs in AgNOR-stained images

MM Rönnau, TW Lepper, LN Amaral, PV Rados… - Computer Methods and …, 2023 - Elsevier
Abstract Background and Objective Oral cancer is the sixth most common kind of human
cancer. Brush cytology for counting Argyrophilic Nucleolar Organizer Regions (AgNORs) …

Cervical cell/clumps detection in cytology images using transfer learning

C Xu, M Li, G Li, Y Zhang, C Sun, N Bai - Diagnostics, 2022 - mdpi.com
Cervical cancer is one of the most common and deadliest cancers among women and poses
a serious health risk. Automated screening and diagnosis of cervical cancer will help …

Comparison of object detection approaches applied to field images of papanicolaou stained cytology slides

A Victória Matias, A Cerentini, LA Buschetto Macarini… - MedRxiv, 2021 - medrxiv.org
Papanicolaou is an inexpensive and non-invasive method, generally applied to detect
cervical cancer, that can also be useful to detect cancer on oral cavities. Although oral …

Segmentation of the veterinary cytological images for fast neoplastic tumors diagnosis

J Grzeszczyk, M Karwatowski, D Łukasik… - arXiv preprint arXiv …, 2023 - arxiv.org
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 …

Comparative analysis of deep learning approaches for AgNOR-stained cytology samples interpretation

JGA Amorim, AV Matias, A Cerentini… - arXiv preprint arXiv …, 2022 - arxiv.org
Cervical cancer is a public health problem, where the treatment has a better chance of
success if detected early. The analysis is a manual process which is subject to a human …

Deep Learning-based Automatic Assessment of AgNOR-scores in Histopathology Images

J Ganz, K Lipnik, J Ammeling, B Richter, C Puget… - BVM Workshop, 2023 - Springer
Nucleolar organizer regions (NORs) are parts of the DNA that are involved in RNA
transcription. Due to the silver affinity of associated proteins, argyrophilic NORs (AgNORs) …

Nucleus Detection in Cervical Samples Stained With AgNOR

JGA Amorim, VM Sanches, T Bottamedi… - Anais do Computer …, 2022 - periodicos.univali.br
Cervical cancer is a public health problem, where the treatment has a better chance of
success if detected early. This paper explores one way of to analyze argyrophilic nucleolus …