[HTML][HTML] Artificial intelligence: A review of progress and prospects in medicine and healthcare

S Mishra - Journal of Electronics, Electromedical Engineering …, 2022 - jeeemi.org
Andrew NG, a leading philosopher in the field of Artificial Intelligence (AI) once quoted “AI is
the new electricity” which has the potential to transform and drive every industry. The most …

[HTML][HTML] Machine learning based lens-free shadow imaging technique for field-portable cytometry

R Vaghashiya, S Shin, V Chauhan, K Kapadiya… - Biosensors, 2022 - mdpi.com
The lens-free shadow imaging technique (LSIT) is a well-established technique for the
characterization of microparticles and biological cells. Due to its simplicity and cost …

[HTML][HTML] The Use of Artificial Intelligence in Automation in the Fields of Gynaecology and Obstetrics–an Assessment of the State of Play

J Weichert, A Welp, JL Scharf… - Geburtshilfe und …, 2021 - thieme-connect.com
Mit dem Fortschreiten der längst notwendigen Digitalisierung werden täglich riesige
Mengen an medizinischen Daten generiert, deren manuelle Analyse und zielgerichtete …

MicrosMobiNet: A Deep Lightweight Network With Hierarchical Feature Fusion Scheme for Microscopy Image Analysis in Mobile-Edge Computing

S Biswas, S Barma - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
In recent advancements of lightweight deep architectures for edge devices, most of the
works follow typical MobileNet pipeline designed for computer vision tasks which is not very …

[HTML][HTML] Multi-scale window transformer for cervical cytopathology image recognition

J Yi, X Liu, S Cheng, L Chen, S Zeng - Computational and Structural …, 2024 - Elsevier
Cervical cancer is a major global health issue, particularly in developing countries where
access to healthcare is limited. Early detection of pre-cancerous lesions is crucial for …

Optimizing convolutional neural network by using genetic algorithm for COVID-19 detection in chest X-ray image

MI Mahendra, I Kurniawan - 2021 International Conference on …, 2021 - ieeexplore.ieee.org
Coronavirus Diseases 19 (COVID-19) first appeared in the city of Wuhan, China, at the end
of 2019 and spread to several countries at a very fast rate. An early diagnosis of COVID-19 …

A survey on deep learning-based cervical cytology screening: from cell identification to whole slide image analysis

P Jiang, X Li, H Shen, Y Chen, L Wang, H Chen… - 2023 - researchsquare.com
Cervical cancer is one of the most common cancers in daily life. Early detection and
diagnosis can effectively help facilitate subsequent clinical treatment and management. With …

Classification of overlapping cells in microscopic cervical images: a transfer learning approach

PV Mulmule, RD Kanphade - 2021 Asian Conference on …, 2021 - ieeexplore.ieee.org
One of the leading cause of mortality in women, is Cervical cancers. Timely and accurate
diagnosis at earlier stage can reduce the mortality rate significantly. Pap smear is the …

[HTML][HTML] Classification of malignant tumors by a non-sequential recurrent ensemble of deep neural network model

D Moitra, RK Mandal - Multimedia Tools and Applications, 2022 - Springer
Many significant efforts have so far been made to classify malignant tumors by using various
machine learning methods. Most of the studies have considered a particular tumor genre …

Cervical Glandular Cell Detection from Whole Slide Image with Out-Of-Distribution Data

Z Wei, S Cheng, J Cai, S Zeng, X Liu… - arXiv preprint arXiv …, 2022 - arxiv.org
Cervical glandular cell (GC) detection is a key step in computer-aided diagnosis for cervical
adenocarcinomas screening. It is challenging to accurately recognize GCs in cervical …