[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 …
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 …
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 …
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
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 …
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 …
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 …
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 …
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 …
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
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 …
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
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 …
adenocarcinomas screening. It is challenging to accurately recognize GCs in cervical …