Deep learning has revolutionized image processing and achieved the-state-of-art
performance in many medical image segmentation tasks. Many deep learning-based …

Purpose In order to solve the problem of accurate and effective segmentation of the patient's
lung computed tomography (CT) images, so as to improve the efficiency of treating lung …

Cervical cancer (CC) is one of the most common gynecologic malignancies in the world. The
incidence and mortality keep high in some remote and poor medical condition regions in …

Patient stratification has made a great contribution to efficient and personalized medicine.
An important task in patient stratification is to discover quite distinct disease subtypes for …

This paper presents a review of deep learning (DL) in multi-organ segmentation. We
summarized the latest DL-based methods for medical image segmentation and applications …

In this work, a novel skin lesion detection approach, called HBCENCM, is proposed using
histogram-based clustering estimation (HBCE) algorithm to determine the required number …

This manuscript describes a dataset of thoracic cavity segmentations and discrete pleural
effusion segmentations we have annotated on 402 computed tomography (CT) scans …

Intramuscular fat (IMF) content is a critical indicator of pork quality that affects directly the
purchasing desire of consumers. However, to measure IMF content is both laborious and …

Lung cancer is the most common cancer-related cause of death worldwide. Unfortunately,
current diagnostic techniques often lack sensitivity and precision, leading to delayed …

Actinic keratosis (AK) is one of the most common precancerous skin lesions, which is easily
confused with benign keratosis (BK). At present, the diagnosis of AK mainly depends on …