AI Medical Compendium Journal:
Asian Pacific journal of cancer prevention : APJCP

Showing 11 to 20 of 39 articles

Brain Tumor Classification based on Improved Stacked Ensemble Deep Learning Methods.

Asian Pacific journal of cancer prevention : APJCP Jun 1, 2023
OBJECTIVE: Brain Tumor diagnostic prediction is essential for assisting radiologists and other healthcare professionals in identifying and classifying brain tumors. For the diagnosis and treatment of cancer diseases, prediction and classification acc...
Health Personnel Brain Brain Neoplasms Deep Learning Humans Algorithms
View on PubMed DOI

An Automatic Breast Tumor Detection and Classification including Automatic Tumor Volume Estimation Using Deep Learning Technique.

Asian Pacific journal of cancer prevention : APJCP Mar 1, 2023
OBJECTIVE: This study aims to develop automatic breast tumor detection and classification including automatic tumor volume estimation using deep learning techniques based on computerized analysis of breast ultrasound images. When the skill levels of ...
Deep Learning Ultrasonography, Mammary Breast Humans Female Breast Neoplasms Tumor Burden
View on PubMed DOI

Convolution Neural Network for Breast Cancer Detection and Classification Using Deep Learning.

Asian Pacific journal of cancer prevention : APJCP Feb 1, 2023
OBJECTIVE: Early detection and precise diagnosis of breast cancer (BC) plays an essential part in enhancing the diagnosis and improving the breast cancer survival rate of patients from 30 to 50%. Through the advances of technology in healthcare, deep...
Deep Learning Carcinoma, Ductal, Breast Carcinoma, Papillary Fibroadenoma Fibroma Carcinoma, Lobular Humans Female Breast Neoplasms
View on PubMed DOI

Epidemiological Features of Acute Myeloid Leukemia in Five Regions of the Republic of Kazakhstan: Population Study.

Asian Pacific journal of cancer prevention : APJCP Dec 1, 2022
OBJECTIVE: The aim of the study was to assess the main epidemiological characteristics of AML (morbidity, survival, distribution by AML variants and age groups) in 5 regions participating in the study.
Humans Artificial Intelligence Research Design Leukemia, Myeloid, Acute Registries Kazakhstan
View on PubMed DOI

Ovarian Cancer-Self Assessment: An Innovation for Early Detection and Risk Assessment of Ovarian Cancer.

Asian Pacific journal of cancer prevention : APJCP Aug 1, 2022
OBJECTIVE: The modality to detect ovarian cancer at an early stage is very limited. Early diagnosis determines the prognosis. This study aimed to develop a risk assessment tool for early detection of ovarian cancer using artificial intelligence. To a...
Artificial Intelligence Female Risk Assessment Humans Carcinoma, Ovarian Epithelial Cohort Studies Early Detection of Cancer Ovarian Neoplasms
View on PubMed DOI

Segmentation of CT Lung Images Using FCM with Active Contour and CNN Classifier.

Asian Pacific journal of cancer prevention : APJCP Mar 1, 2022
OBJECTIVE: Lung cancer is one of the unsafe diseases for human which reduces the patient life time. Generally, most of the lung cancers are identified after it has been spread into the lung parts and moreover it is difficult to find the lung cancer a...
Lung Neoplasms Fuzzy Logic Humans Neural Networks, Computer Tomography, X-Ray Computed Lung
View on PubMed DOI

Study the Effect of the Risk Factors in the Estimation of the Breast Cancer Risk Score Using Machine Learning.

Asian Pacific journal of cancer prevention : APJCP Nov 1, 2021
OBJECTIVE: Early prediction of breast cancer is one of the most essential fields of medicine. Many studies have introduced prediction approaches to facilitate the early prediction and estimate the future occurrence based on mammography periodic tests...
Datasets as Topic Statistics as Topic Risk Assessment Surveys and Questionnaires Early Detection of Cancer Risk Factors Machine Learning Breast Neoplasms Middle Aged Female Humans
View on PubMed DOI

Physical Features and Vital Signs Predict Serum Albumin and Globulin Concentrations Using Machine Learning.

Asian Pacific journal of cancer prevention : APJCP Feb 1, 2021
OBJECTIVE: Serum protein concentrations are diagnostically and prognostically valuable in cancer and other diseases, but their measurement via blood test is uncomfortable, inconvenient, and costly. This study investigates the possibility of predictin...
Humans Machine Learning Body Height Female Predictive Value of Tests Adult Vital Signs Serum Globulins China Body Weight Male Serum Albumin Body Mass Index Sex Factors Middle Aged Age Factors
View on PubMed DOI

Prediction of Cranial Radiotherapy Treatment in Pediatric Acute Lymphoblastic Leukemia Patients Using Machine Learning: A Case Study at MAHAK Hospital.

Asian Pacific journal of cancer prevention : APJCP Nov 1, 2020
BACKGROUND: Acute Lymphoblastic Leukemia (ALL) is the most common blood disease in children and is responsible for the most deaths amongst children. Due to major improvements in the treatment protocols in the 50-years period, the survivability of thi...
Iran Precursor Cell Lymphoblastic Leukemia-Lymphoma Humans Cranial Irradiation Machine Learning Child Infant Adolescent Prognosis Follow-Up Studies Female Hospitals Child, Preschool Radiation Oncology Infant, Newborn Male
View on PubMed DOI

Robust Estimation of Breast Cancer Incidence Risk in Presence of Incomplete or Inaccurate Information.

Asian Pacific journal of cancer prevention : APJCP Aug 1, 2020
PURPOSE: To evaluate the robustness of multiple machine learning classifiers for breast cancer risk estimation in the presence of incomplete or inaccurate information.
United States Follow-Up Studies Data Interpretation, Statistical Aged, 80 and over Prognosis Adult Humans Middle Aged Female Breast Neoplasms Neural Networks, Computer Incidence Aged Machine Learning ROC Curve
View on PubMed DOI
Popular Topics
Popular Journals