Oncology/Hematology

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

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Improving Breast Tumor Segmentation in PET via Attentive Transformation Based Normalization.

Positron Emission Tomography (PET) has become a preferred imaging modality for cancer diagnosis, rad...

Diagnosis of Brain Tumor Using Light Weight Deep Learning Model with Fine-Tuning Approach.

Brain cancer is a rare and deadly disease with a slim chance of survival. One of the most important ...

Artificial intelligence in clinical applications for lung cancer: diagnosis, treatment and prognosis.

Artificial intelligence (AI) is a branch of computer science that includes research in robotics, lan...

Challenging cases in high-risk prostate cancer patients treated with Retzius-sparing robot-assisted radical prostatectomy.

OBJECTIVE: To evaluate the relationship between enlarged prostate, bulky median lobe (BML) or prior ...

Research on Sports Health Care Information System Based on Computer Deep Learning Algorithm.

There are various problems in diagnosing and treating tumor diseases in significant hospitals. The c...

Hybrid Rider Optimization with Deep Learning Driven Biomedical Liver Cancer Detection and Classification.

Biomedical engineering is the application of the principles and problem-solving methods of engineeri...

Intelligent Deep Learning Enabled Oral Squamous Cell Carcinoma Detection and Classification Using Biomedical Images.

Oral cancer is one of the lethal diseases among the available malignant tumors globally, and it has ...

Use of deep learning to predict postoperative recurrence of lung adenocarcinoma from preoperative CT.

PURPOSE: Although surgery is the primary treatment for lung cancer, some patients experience recurre...

Improve individual treatment by comparing treatment benefits: cancer artificial intelligence survival analysis system for cervical carcinoma.

PURPOSE: The current study aimed to construct a novel cancer artificial intelligence survival analys...

HunCRC: annotated pathological slides to enhance deep learning applications in colorectal cancer screening.

Histopathology is the gold standard method for staging and grading human tumors and provides critica...

CNN-Based Brain Tumor Detection Model Using Local Binary Pattern and Multilayered SVM Classifier.

In this paper, an autonomous brain tumor segmentation and detection model is developed utilizing a c...

Prediction of the risk of cancer and the grade of dysplasia in leukoplakia lesions using deep learning.

OBJECTIVES: To estimate the probability of malignancy of an oral leukoplakia lesion using Deep Learn...

Deep Learning and Structure-Based Virtual Screening for Drug Discovery against NEK7: A Novel Target for the Treatment of Cancer.

NIMA-related kinase7 (NEK7) plays a multifunctional role in cell division and NLRP3 inflammasone act...

A new deep learning technique reveals the exclusive functional contributions of individual cancer mutations.

Cancers are caused by genomic alterations that may be inherited, induced by environmental carcinogen...

A state-of-the-art technique to perform cloud-based semantic segmentation using deep learning 3D U-Net architecture.

Glioma is the most aggressive and dangerous primary brain tumor with a survival time of less than 14...

A Novel Hybrid Deep Learning Model for Metastatic Cancer Detection.

Cancer has been found as a heterogeneous disease with various subtypes and aims to destroy the body'...

Eliminating CT radiation for clinical PET examination using deep learning.

Clinical PET/CT examinations rely on CT modality for anatomical localization and attenuation correct...

Robot-assisted nephroureterectomy for upper tract urothelial carcinoma-feasibility and complications: a single center experience.

BACKGROUND: Robot-assisted nephroureterectomy (RANU) is the primary treatment for upper tract urothe...

Deep learning for necrosis detection using canine perivascular wall tumour whole slide images.

Necrosis seen in histopathology Whole Slide Images is a major criterion that contributes towards sco...

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