Machine learning methods for histopathological image analysis: A review

J De Matos, STM Ataky, A de Souza Britto Jr… - Electronics, 2021 - mdpi.com
Histopathological images (HIs) are the gold standard for evaluating some types of tumors for
cancer diagnosis. The analysis of such images is time and resource-consuming and very …

[HTML][HTML] A leaf image localization based algorithm for different crops disease classification

Y Kurmi, S Gangwar - Information processing in agriculture, 2022 - Elsevier
Agricultural crop production is a major contributing element to any country's economy. To
maintain the economic growth of any country plants disease detection is a leading factor in …

Artificial intelligence techniques for neuropathological diagnostics and research

I Alzoubi, G Bao, Y Zheng, X Wang… - …, 2023 - Wiley Online Library
Artificial intelligence (AI) research began in theoretical neurophysiology, and the resulting
classical paper on the McCulloch‐Pitts mathematical neuron was written in a psychiatry …

Leaf images classification for the crops diseases detection

Y Kurmi, S Gangwar, V Chaurasia, A Goel - Multimedia Tools and …, 2022 - Springer
Crop production affects the economy of a specific region or country. To maintain the
economic development of any territory crops disease detection is a leading factor in …

Tuberculosis bacteria analysis in acid fast stained images of sputum smear

Y Kurmi, V Chaurasia, A Goel, D Joshi… - Signal, Image and Video …, 2021 - Springer
Tuberculosis (TB) basically originates due to bacteria, influences the developing nations
and disrupts their economy severely. TB like diseases are with a high mortality rate …

TAIM: tool for analyzing root images to calculate the infection rate of arbuscular mycorrhizal fungi

K Muta, S Takata, Y Utsumi, A Matsumura… - Frontiers in Plant …, 2022 - frontiersin.org
Arbuscular mycorrhizal fungi (AMF) infect plant roots and are hypothesized to improve plant
growth. Recently, AMF is now available for axenic culture. Therefore, AMF is expected to be …

Design of a histopathology image segmentation algorithm for CAD of cancer

Y Kurmi, V Chaurasia, N Kapoor - Optik, 2020 - Elsevier
In the present world, medical diagnosis systems depend a lot on medical imaging and digital
nosology. The digital nosology is leading to computer-aided diagnosis to facilitate the rapid …

[PDF][PDF] Performance analysis of breast cancer histopathology image classification using transfer learning models.

MP Ramasamy, T Subburaj, V Krishnasamy… - International Journal of …, 2024 - academia.edu
Convolutional neural networks (CNN) which are deep learning-based methods are being
currently successfully deployed and have gained much popularity in medical image …

Histopathology image segmentation and classification for cancer revelation

Y Kurmi, V Chaurasia, N Kapoor - Signal, Image and Video Processing, 2021 - Springer
In the medical field, image segmentation and classification possesses high worth in disease
diagnosis and grading. The proposed novel technique segments and classifies …

A Novel Nucleus Detection on Pap Smear Image Using Mathematical Morphology Approach

N Nahrawi, WA Mustafa, SNAM Kanafiah… - Journal of …, 2021 - Trans Tech Publ
The fourth most common form of cancer among women is cervical cancer with 569,847 new
cases and 311,365 reported deaths worldwide in 2018. Cervical cancer is classified as the …