Oncology/Hematology

Latest AI and machine learning research in oncology/hematology for healthcare professionals.

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Application of Deep Learning in Lung Cancer Imaging Diagnosis.

Lung cancer is one of the malignant tumors with the highest fatality rate and nearest to our lives. ...

Evolved explainable classifications for lymph node metastases.

A novel evolutionary approach for Explainable Artificial Intelligence is presented: the "Evolved Exp...

Deep transfer learning based model for colorectal cancer histopathology segmentation: A comparative study of deep pre-trained models.

Colorectal cancer is one of the leading causes of cancer-related death, worldwide. Early detection o...

Screening for prostate cancer: a study on the free and total prostate specific antigen.

BACKGROUND: A variety of biomarkers have been developed to monitor growth of cancerous diseases and ...

Optical coherence tomography for identification of malignant pulmonary nodules based on random forest machine learning algorithm.

OBJECTIVE: To explore the feasibility of using random forest (RF) machine learning algorithm in asse...

Computer-assisted mitotic count using a deep learning-based algorithm improves interobserver reproducibility and accuracy.

The mitotic count (MC) is an important histological parameter for prognostication of malignant neopl...

Model-Driven Deep Learning Method for Pancreatic Cancer Segmentation Based on Spiral-Transformation.

Pancreatic cancer is a lethal malignant tumor with one of the worst prognoses. Accurate segmentation...

Unsupervised discovery of dynamic cell phenotypic states from transmitted light movies.

Identification of cell phenotypic states within heterogeneous populations, along with elucidation of...

Multi-energy level fusion for nodal metastasis classification of primary lung tumor on dual energy CT using deep learning.

Lymph node metastasis also called nodal metastasis (Nmet), is a clinically primary task for physicia...

Factors Affecting Transperitoneal Robot-Assisted Laparoscopic Radical Prostatectomy.

To evaluate the impact of body mass index (BMI), preoperative risk classification, previous inguina...

Deep learning identifies inflamed fat as a risk factor for lymph node metastasis in early colorectal cancer.

The spread of early-stage (T1 and T2) adenocarcinomas to locoregional lymph nodes is a key event in ...

Deep learning radiomics model related with genomics phenotypes for lymph node metastasis prediction in colorectal cancer.

BACKGROUND AND PURPOSE: The preoperative lymph node (LN) status is important for the treatment of co...

Identifying Cancer Subtypes Using a Residual Graph Convolution Model on a Sample Similarity Network.

Cancer subtype classification helps us to understand the pathogenesis of cancer and develop new canc...

Development of a radiomics and machine learning model for predicting occult cervical lymph node metastasis in patients with tongue cancer.

OBJECTIVE: We aimed to develop a predictive model for occult cervical lymph node metastasis in patie...

DNA-based artificial dendritic cells for in situ cytotoxic T cell stimulation and immunotherapy.

In immunotherapy, ex vivo stimulation of T cells requires significant resources and effort. Here, we...

Assessing and utilizing esterase specificity in antimicrobial prodrug development.

As a class of enzymes, esterases have been investigated for decades and have found use in industrial...

Hybrid Deep Neural Network for Handling Data Imbalance in Precursor MicroRNA.

Over the last decade, the field of bioinformatics has been increasing rapidly. Robust bioinformatics...

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