Detecting and categorizing Pap smear images automatically has been a difficult task over
the past five decades. There is a significant need for the design and implementation of low …

Deep learning-based sustainable subsurface for anomaly detection in different materials is
an objective to improve the reliability of thermographic inspection. This article aims to …

Cervical cancer is a disease affecting a worrisomely large number of women worldwide. If
not treated in a timely fashion, this disease can lead to death. Due to this problematic, this …

With the exponential growth of technology within few decades the possibility of smart cities
has also increased with an advanced production of fresh services for health, transport …

Cervical cancer is one of the most severe diseases threatening women's health. Early
detection and diagnosis can significantly reduce cancer risk, in which cervical cytology …

The fundamental feature of internet of things (IoT) is to integrate the sensing technology
along with the technology of radio frequency identification and port these technology on the …

Morphological changes in the cell structure in Pap Smear images are the basis for
classification in pathology. Identification of this classification is a challenge because of the …

Diagnosis of lymph node metastases is a challenging task for pathologists, involving an
extensive screening of the pathological scans. Automating diagnostic processes reduces the …

Cervical cancer (CC) is the fourth commonly occurring cancer among females over the
globe. It accounts for 7.9% of woman cancer as identified by world health organization …

Sažetak Among the main factors contributing to death globally is cervical cancer, regardless
of whether it can be avoided and treated if the afflicted tissues are removed early. Cervical …