Computational intelligence in cancer diagnostics: a contemporary review of smart phone apps, current problems, and future research potentials
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 …
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
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 …
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 …
(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
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 …
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
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 …
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
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 …
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 …
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 …
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 …
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 …
result of the rise of digital pathology. Computer algorithms, specifically artificial-intelligence …