A comprehensive review of computer-aided whole-slide image analysis: from datasets to feature extraction, segmentation, classification and detection approaches

X Li, C Li, MM Rahaman, H Sun, X Li, J Wu… - Artificial Intelligence …, 2022 - Springer
With the development of Computer-aided Diagnosis (CAD) and image scanning techniques,
Whole-slide Image (WSI) scanners are widely used in the field of pathological diagnosis …

Automated diagnosis of leukemia: a comprehensive review

A Shah, SS Naqvi, K Naveed, N Salem… - IEEE …, 2021 - ieeexplore.ieee.org
Leukemia is the rapid production of abnormal white blood cells that consequently affects the
blood and damages the bone marrow. The overproduction of abnormal and immature white …

A seven-layer convolutional neural network for chest CT-based COVID-19 diagnosis using stochastic pooling

Y Zhang, SC Satapathy, LY Zhu, JM Górriz… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
(Aim) COVID-19 pandemic causes numerous death tolls till now. Chest CT is an effective
imaging sensor system to make accurate diagnosis.(Method) This article proposed a novel …

A survey of computer-aided tumor diagnosis based on convolutional neural network

Y Yan, XJ Yao, SH Wang, YD Zhang - Biology, 2021 - mdpi.com
Simple Summary One of the hottest areas in deep learning is computerized tumor diagnosis
and treatment. The identification of tumor markers, the outline of tumor growth activity, and …

An approach to classify white blood cells using convolutional neural network optimized by particle swarm optimization algorithm

K Balasubramanian, NP Ananthamoorthy… - Neural Computing and …, 2022 - Springer
Blood cell count is an important parameter in analysing a person's health condition. White
blood corpuscles (leukocytes) are responsible for deciding the immunity system of a person …

[HTML][HTML] Recent computational methods for white blood cell nuclei segmentation: A comparative study

AR Andrade, LHS Vogado, R de MS Veras… - Computer methods and …, 2019 - Elsevier
Background and objective: Leukaemia is a disease found worldwide; it is a type of cancer
that originates in the bone marrow and is characterised by an abnormal proliferation of white …

A state-of-the-art survey of artificial neural networks for whole-slide image analysis: from popular convolutional neural networks to potential visual transformers

W Hu, X Li, C Li, R Li, T Jiang, H Sun, X Huang… - Computers in Biology …, 2023 - Elsevier
In recent years, with the advancement of computer-aided diagnosis (CAD) technology and
whole slide image (WSI), histopathological WSI has gradually played a crucial aspect in the …

Automated analysis of blood smear images for leukemia detection: a comprehensive review

A Mittal, S Dhalla, S Gupta, A Gupta - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
Leukemia, the malignancy of blood-forming tissues, becomes fatal if not detected in the early
stages. It is detected through a blood smear test that involves the morphological analysis of …

[HTML][HTML] Detection of weather images by using spiking neural networks of deep learning models

M Toğaçar, B Ergen, Z Cömert - Neural Computing and Applications, 2021 - Springer
The transmission of weather information of a location at certain time intervals affects the
living conditions of the people there directly or indirectly. According to weather information …

A new convolutional neural network predictive model for the automatic recognition of hypogranulated neutrophils in myelodysplastic syndromes

A Acevedo, A Merino, L Boldú, A Molina… - Computers in Biology …, 2021 - Elsevier
Background Dysplastic neutrophils commonly show at least 2/3 reduction of the content of
cytoplasmic granules by morphologic examination. Recognition of less granulated …