Oncology/Hematology

Using a convolutional neural network for classification of squamous and non-squamous non-small cell lung cancer based on diagnostic histopathology HES images.

Histological stratification in metastatic non-small cell lung cancer (NSCLC) is essential to properl...

Deep learning data augmentation for Raman spectroscopy cancer tissue classification.

Recently, Raman Spectroscopy (RS) was demonstrated to be a non-destructive way of cancer diagnosis, ...

DNN-Boost: Somatic mutation identification of tumor-only whole-exome sequencing data using deep neural network and XGBoost.

Detection of somatic mutation in whole-exome sequencing data can help elucidate the mechanism of tum...

Artificial Intelligence and Deep Learning for Upper Gastrointestinal Neoplasia.

Upper gastrointestinal (GI) neoplasia account for 35% of GI cancers and 1.5 million cancer-related d...

Radiation Dose Reduction in Digital Mammography by Deep-Learning Algorithm Image Reconstruction: A Preliminary Study.

PURPOSE: To develop a denoising convolutional neural network-based image processing technique and in...

Reading the Mind of a Machine: Hopes and Hypes of Artificial Intelligence for Clinical Oncology Imaging.

Molecular Biology in Treatment Decision Processes-Neuro-Oncology Edition.

Computational approaches including machine learning, deep learning, and artificial intelligence are ...

Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.

Survival prediction is highly valued in end-of-life care clinical practice, and patient performance ...

A Pan-Cancer Analysis of Predictive Methylation Signatures of Response to Cancer Immunotherapy.

Recently, tumor immunotherapy based on immune checkpoint inhibitors (ICI) has been introduced and wi...

ACP-MHCNN: an accurate multi-headed deep-convolutional neural network to predict anticancer peptides.

Although advancing the therapeutic alternatives for treating deadly cancers has gained much attentio...

WMLRR: A Weighted Multi-View Low Rank Representation to Identify Cancer Subtypes From Multiple Types of Omics Data.

The identification of cancer subtypes is of great importance for understanding the heterogeneity of ...

Unsupervised Learning Framework With Multidimensional Scaling in Predicting Epithelial-Mesenchymal Transitions.

Clustering tumor metastasis samples from gene expression data at the whole genome level remains an a...

Lesion Segmentation in Ultrasound Using Semi-Pixel-Wise Cycle Generative Adversarial Nets.

Breast cancer is the most common invasive cancer with the highest cancer occurrence in females. Hand...

Deep learning nomogram for predicting lymph node metastasis using computed tomography image in cervical cancer.

BACKGROUND: Deep learning (DL) has been used on medical images to grade, differentiate, and predict ...

Predicting distant metastases in soft-tissue sarcomas from PET-CT scans using constrained hierarchical multi-modality feature learning.

Positron emission tomography-computed tomography (PET-CT) is regarded as the imaging modality of cho...

A hybrid approach based on deep learning and level set formulation for liver segmentation in CT images.

Accurate liver segmentation is essential for radiation therapy planning of hepatocellular carcinoma ...

Deep Learning-Based Transfer Learning for Classification of Skin Cancer.

One of the major health concerns for human society is skin cancer. When the pigments producing skin ...

A radiogenomics application for prognostic profiling of endometrial cancer.

Prognostication is critical for accurate diagnosis and tailored treatment in endometrial cancer (EC)...

The identification of gene signatures in patients with extranodal NK/T-cell lymphoma from a pair of twins.

BACKGROUND: There is no unified treatment standard for patients with extranodal NK/T-cell lymphoma (...

Classification of Soft Tissue Sarcoma Specimens with Raman Spectroscopy as Smart Sensing Technology.

Intraoperative confirmation of negative resection margins is an essential component of soft tissue s...

Baseline characteristics associated with survival in patients with hepatocellular carcinoma.

BACKGROUND AND AIM: Hepatocellular carcinoma (HCC) is one of the most common and most lethal cancers...