Other Cancers

NEOADJUVANT LENVATINIB IN ADVANCED UNRESECTABLE MEDULLARY THYROID CARCINOMA: A CASE REPORT.

OBJECTIVE: Medullary thyroid carcinoma, a rare form of thyroid cancer, is typically managed with sur...

Accurate Deep Learning-Based Sleep Staging in a Clinical Population With Suspected Obstructive Sleep Apnea.

The identification of sleep stages is essential in the diagnostics of sleep disorders, among which o...

Automatic Identification of Breast Ultrasound Image Based on Supervised Block-Based Region Segmentation Algorithm and Features Combination Migration Deep Learning Model.

Breast cancer is a high-incidence type of cancer for women. Early diagnosis plays a crucial role in ...

Correlation of cancer antigen 15-3 (CA15-3) serum level and bony metastases in breast cancer patients.

Cancer antigen 15-3 (CA15-3) is a common tumor marker and the serum level of this tumor marker is e...

Editorial on "Diagnosis of Benign and Malignant Breast Lesions on DCE-MRI by Using Radiomics and Deep Learning With Consideration of Peritumor Tissue".

BrainMRNet: Brain tumor detection using magnetic resonance images with a novel convolutional neural network model.

A brain tumor is a mass that grows unevenly in the brain and directly affects human life. This mass ...

Brain Tumor Detection by Using Stacked Autoencoders in Deep Learning.

Brain tumor detection depicts a tough job because of its shape, size and appearance variations. In t...

Assessment of individual tumor buds using keratin immunohistochemistry: moderate interobserver agreement suggests a role for machine learning.

Tumor budding is a promising and cost-effective biomarker with strong prognostic value in colorectal...

CAD and AI for breast cancer-recent development and challenges.

Computer-aided diagnosis (CAD) has been a popular area of research and development in the past few d...

Predicting cognitive behavioral therapy outcome in the outpatient sector based on clinical routine data: A machine learning approach.

The availability of large-scale datasets and sophisticated machine learning tools enables developing...

Classifying T cell activity in autofluorescence intensity images with convolutional neural networks.

The importance of T cells in immunotherapy has motivated developing technologies to improve therapeu...

A Deep Learning Model for Cell Growth Inhibition IC50 Prediction and Its Application for Gastric Cancer Patients.

Heterogeneity in intratumoral cancers leads to discrepancies in drug responsiveness, due to diverse ...

A modular cGAN classification framework: Application to colorectal tumor detection.

Automatic identification of tissue structures in the analysis of digital tissue biopsies remains an ...

Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection.

OBJECTIVES: To evaluate whether a computed tomography (CT) radiomics-based machine learning classifi...

An enhanced deep learning approach for brain cancer MRI images classification using residual networks.

Cancer is the second leading cause of death after cardiovascular diseases. Out of all types of cance...

Multi-Institutional Validation of Deep Learning for Pretreatment Identification of Extranodal Extension in Head and Neck Squamous Cell Carcinoma.

PURPOSE: Extranodal extension (ENE) is a well-established poor prognosticator and an indication for ...

Story Arcs in Serious Illness: Natural Language Processing features of Palliative Care Conversations.

OBJECTIVE: Serious illness conversations are complex clinical narratives that remain poorly understo...

Deep Learning Signature Based on Staging CT for Preoperative Prediction of Sentinel Lymph Node Metastasis in Breast Cancer.

RATIONALE AND OBJECTIVES: To evaluate the noninvasive predictive performance of deep learning featur...

Convolutional Neural Network Detection of Axillary Lymph Node Metastasis Using Standard Clinical Breast MRI.

BACKGROUND: Axillary lymph node status is important for breast cancer staging and treatment planning...

Comparison of the oncological, perioperative and functional outcomes of partial nephrectomy versus radical nephrectomy for clinical T1b renal cell carcinoma: A systematic review and meta-analysis of retrospective studies.

OBJECTIVE: To conduct a meta-analysis assessing the perioperative, functional and oncological outcom...

Computer-Aided Diagnosis Systems in Diagnosing Malignant Thyroid Nodules on Ultrasonography: A Systematic Review and Meta-Analysis.

BACKGROUND: Computer-aided diagnosis (CAD) systems are being applied to the ultrasonographic diagnos...