[HTML][HTML] Microc alcification segmentation using modified u-net segmentation network from mammogram images

MS Hossain - Journal of King Saud University-Computer and …, 2022 - Elsevier
Breast cancer is the most common aggressive cancer in women while the early detection of
this cancer can reduce the aggressiveness. But it is challenging to identify breast cancer …

Cervical cancer single cell image data augmentation using residual condition generative adversarial networks

S Chen, D Gao, L Wang, Y Zhang - 2020 3rd international …, 2020 - ieeexplore.ieee.org
Early detection of cervical cancer is key to detecting and treating cancer. Applying the
computer to the detection of cervical cancer can get more accurate results. However, data …

[HTML][HTML] Identification of multilingual offense and troll from social media memes using weighted ensemble of multimodal features

E Hossain, O Sharif, MM Hoque, MAA Dewan… - Journal of King Saud …, 2022 - Elsevier
In recent years, memes have become a common medium of promulgating offensive views by
the content polluters in social media. Due to their multimodal nature, memes can easily …

An improved breast cancer nuclei segmentation method based on unet++

H Wang, Y Li, Z Luo - Proceedings of the 2020 6th International …, 2020 - dl.acm.org
Nuclei segmentation plays an important role in medical image analysis but it is also a
challenging area due to the tiny size of nuclei especially for breast cancer nuclei. To address …

High-performance near-infrared imaging for breast cancer detection

YH El-Sharkawy, AF El-Sherif - Journal of biomedical optics, 2014 - spiedigitallibrary.org
We present a method for the noninvasive determination of the size, position, and optical
properties of tumors in the human breast. The tumor is first detected by photothermal …

Breast Cancer Detection Using Comprising Fuzzy C-Means and Artificial Bee Colony Optimization Segmentation and Grading with Random Forest Classifier.

B Sundaravadivelu… - Traitement du …, 2023 - search.ebscohost.com
The integration of machine learning models into artificial intelligence has precipitated
significant advancements in medical science. Notably, various programs have equipped …

Study on pathological mechanism of pneumonia infected by coronavirus based on time-series gene co-expression network analysis

XC Yi, Y Zhang, T Xu, X Su, C Fu - 2021 IEEE 9th International …, 2021 - ieeexplore.ieee.org
Recently, the epidemic of COVID-19 infection broke out in Wuhan, China. To explore the
pathological mechanism of pneumonia infected by coronavirus, we built a bioinformatics …

Segmentasi Citra USG (Ultrasonography) Kanker Payudara Menggunakan Fuzzy C-Means Clustering

R Munarto, R Wiryadinata… - Setrum: Sistem Kendali …, 2018 - jurnal.untirta.ac.id
Health is a valuable treasure in survival and can be used as a parameter of quality
assurance of human life. Some people even tend to ignore of health, so don't care about the …

Mammographic mass retrieval using multi-view information and Laplacian score feature selection

W Liu, Y Wei, C Liu - Proceedings of the 2020 2nd International …, 2020 - dl.acm.org
Breast cancer is the most commonly diagnosed cancer and the leading cause of cancer
death among women all over the world. Content based mammographic mass retrieval can …

[PDF][PDF] Graphical Interface to Improve Python Language Teaching and Image Processing

B Meneses-Claudio, L Nuñez-Tapia, W Alvarado-Díaz - academia.edu
The increase in knowledge of programming languages is increasingly high due to current
business and educational demands, in many cases it has been reflected that advanced …