Latest AI and machine learning research in other cancers for healthcare professionals.
Accurate evaluation of tumor response to preoperative chemotherapy is crucial for assigning appropri...
Artificial intelligence (AI) is of keen interest for global health development as potential support ...
OBJECTIVE: Concurrent autoimmune disorders, including autoimmune hepatitis (AIH), with Graves diseas...
BACKGROUND: Spontaneous or fine-needle aspiration biopsy (FNAB)-induced remission of primary hyperpa...
In this paper, we present a segmentation and classification method for thyroid follicular neoplasms ...
In the field of pathology, micro-computed tomography (micro-CT) has become an attractive imaging mod...
Assessing cancer response to therapeutic interventions has been realized as an important course to e...
An important need exists for reliable positron emission tomography (PET) tumor-segmentation methods ...
Due to the inter- and intra- variation of respiratory motion, it is highly desired to provide real-t...
Histopathological images are a rich but incompletely explored data type for studying cancer. Manual ...
The composition and relative abundances of immune cells in the tumor microenvironment are key factor...
Tumor mutation burden (TMB) is considered to be an independent genetic biomarker that can predict th...
Since the introduction of robot-assisted surgery, increasingly complex operations have been performe...
RATIONALE AND OBJECTIVES: To investigate the value of diffusion-weighted magnetic resonance imaging ...
Since colonoscopy and polypectomy were introduced, Colorectal Cancer (CRC) incidence and mortality d...
PURPOSE: The purpose of this study was to develop and validate a deep learning (DL)-based radiomics ...
Positron emission tomography (PET), a functional and dynamic molecular imaging technique, is general...
The aim of this study was to develop a diagnostic strategy for esophageal squamous cell carcinoma (E...
In preclinical toxicology studies, a "stage-aware" histopathological evaluation of testes is recogni...
In this study, a transfer learning method was utilized to recognize and classify benign and malignan...
The most common mesenchymal tumors are gastrointestinal stromal tumors (GISTs), which have malignant...