Computational intelligence in cancer diagnostics: a contemporary review of smart phone apps, current problems, and future research potentials

S Jain, D Naicker, R Raj, V Patel, YC Hu, K Srinivasan… - Diagnostics, 2023 - mdpi.com
Cancer is a dangerous and sometimes life-threatening disease that can have several
negative consequences for the body, is a leading cause of mortality, and is becoming …

Detecting malignancy of ovarian tumour using convolutional neural network: A review

M Mathur, V **dal, G Wadhwa - 2020 Sixth International …, 2020 - ieeexplore.ieee.org
Ovaries are important part of female reproductive system. The importance of these tiny
glands is derived from the production of female sex hormones and female gametes. The …

OPTIMAL PARAMETER SELECTION-BASED DEEP SEMI-SUPERVISED GENERATIVE LEARNING AND CNN FOR OVARIAN CANCER CLASSIFICATION.

PH Nagarajan, N Tajunisha - ICTACT Journal on Soft …, 2023 - search.ebscohost.com
A segmentation and categorization of ovarian cancer varieties from Computed Tomography
(CT) scans is greatly necessary in current medicinal diagnosis system to lessen the mortality …

Neural Network Enhancement Forecast of dengue fever outbreaks in coastal region

THF Harumy, DSB Ginting - Journal of Physics: Conference …, 2021 - iopscience.iop.org
Dengue Fever is among the world's fastest-spreading mosquito-borne illnesses. In
Indonesia, more than 33 percent of the world community is in danger. The Coastal Zone is …

[PDF][PDF] Classifying pap smear images with an advanced composite random forest model

S Bhattacharjee, D Ray, D Saha… - Int J Eng Trends …, 2022 - researchgate.net
Manual screening and diagnosis of conventional Pap-smear slides for cervical cancer
diagnosis is slow and suffers from human error. Here we have proposed a hybrid-deep …

An Optimized Data Classifier Model Based Diagnosis and Recurrence Predictions of Gynecological Cancer for Clinical Decision Support System

B Nithya, V Ilango - Proceeding of the International Conference on …, 2020 - Springer
Meaningful knowledge can be revealed by applying Soft Computing techniques in
healthcare industry. In women-related cancers, the studies that have been done on the …

[PDF][PDF] Automatic detection of ovarian cancer based on improved DWT transformation

S Rashid, R Kaur - International Journal of Engineering & …, 2018 - scholar.archive.org
Ovarian cancer sub-kinds are distinct pathologic individual with dissimilar prognostic and
therapeutic suggestions. Histo-ty** by pathologists has good reproducibility; therefore …

Development and benchmarking a novel scatter search algorithm for learning probabilistic graphical models in healthcare

J Threlfal - 2022 - orca.cardiff.ac.uk
Healthcare data of small sizes are widespread, and the challenge of building accurate
inference models is difficult. Many machine learning algorithms exist, but many are black …

[PDF][PDF] Ovarian cancer sign, symptoms and detection techniques

U Shafi, S Sharma - vol, 2018 - academia.edu
The current medical field is improved in many ways by accessing the applications of the
technology. Digital image processing is one of them that being fascinating for researchers as …

Classification Of Ovarian Tumor Using Histopathological Images

MG Tikone - 2022 - norma.ncirl.ie
Histopathology and allied sciences such as cytology have gained new perspectives as a
result of the rise of digital pathology. Computer algorithms, specifically artificial-intelligence …