Abstract Objective Many Computer Aided Prognostic (CAP) systems based on machine
learning techniques have been proposed in the field of oncology. The objective of this …

Cervical cancer has become the third most common form of cancer in the in‐universe, after
the widespread breast cancer. Human papillomavirus risk of infection is linked to the …

Novel methods and materials are used in healthcare applications for finding cancer in
various parts of the human system. To select the most suitable therapy plan for individuals …

Radiomics is an emerging field of research based on extracting mathematical descriptive
features from medical images with the aim of improving diagnostic performance and …

Background As lymphovascular space invasion (LVSI) was closely related to lymph node
metastasis and prognosis, the preoperative assessment of LVSI in early‐stage cervical …

Background: This study aimed to develop a model that automatically predicts the
neoadjuvant chemoradiotherapy (nCRT) response for patients with locally advanced …

Simple Summary Perineural invasion (PNI) is present in 17–75% of prostate cancer patients
and is an important mechanism for cancer progression, leading to poor prognoses. An …

Magnetic resonance imaging (MRI) is known for its accurate soft tissue delineation of tumors
and normal tissues. This development has significantly impacted the imaging and treatment …

Simple Summary Endometrial cancer and mixed Müllerian tumors are different types of
uterine malignancies, yet differentiating these diseases can be challenging and often …

This study investigates the use of Predictive Analytics Frameworks (PAF) for identifying
biomarkers of recurrent cervical cancer and predicting prognosis. It addresses the limited …