Segmentation of Pap Smear Images to Diagnose Cervical Cancer Types and Stagesdoi:10.1109/icacci.2018.8554911Vasundhara AcharyaPreetham KumarInstitute of Electrical and Electronics Engineers Inc.Advances in Computing and Communications
Cervical Cancer arises in the Cervix. Cancer progresses slowly from normal stage to pre-cancerous stage, and hence it provides an opportunity to diagnose it and prevent it. Visual inspection of the pap smear is tedious and time-consuming. Commercial systems for automated analysis are costly which...
A new technique for automatic extraction of object region and boundary from the background for cell nucleus segmentation of cervical cancer images is proposed in this work. Gradient magnitude and directional information are employed to extract the exact boundary of the object under consideration. Segmen...
Cervical cancer is a significant global issue, with Pap smear tests being a common screening tool for precancerous stages. This study aims to develop a computer-aided diagnostics system that can classify precancerous cells from Pap smear images. The project employs convolutional neural networks (CN...
Cervical cancer is preventable if effective screening measures are in place. Pap-smear is the commonest technique used for early screening and diagnosis of cervical cancer. However, the manual analysis of the pap-smears is error prone due to human mistake, moreover, the process is tedious and ...
The four examples are the lymph node, cervical cancer, fetal head, and polyp in CT, MR, ultrasound, and endoscopy images, respectively. Source data are provided as a Source Data file. Full size image The effect of training dataset size We also investigated the effect of varying dataset ...
A new study presents an innovative approach to the crucial detection of pre-cancerous lesions using large, high-res images. A team of researchers from Portugal developed a machine learning solution that assists pathologists in the detection of cervical d
The four examples are the lymph node, cervical cancer, fetal head, and polyp in CT, MR, ultrasound, and endoscopy images, respectively. Source data are provided as a Source Data file. Full size image The effect of training dataset size We also investigated the effect of varying dataset ...
Liver cancer is one of the most common malignant tumors in the world, ranking fifth in malignant tumors. The degree of differentiation can reflect the degree of malignancy. The degree of malignancy of liver cancer can be divided into three types: poorly differentiated, moderately differentiated, an...
2020 Isfahan University of Medical Sciences(IUMS). All rights reserved.Background: Cervical cancer is one of the most common cancers among women worldwide, which can be diagnosed more quickly via using digital systems. The purpose of this study was to classify the cells in Pap smear test imag...