Optimized Supervised ML for Medicinal Plant Detection - An FPGA Implementation [PDF]
International Journal of Electronics and TelecommunicationsMedicinal plants have a huge significance today as it is the root resource to treat several ailments and medical disorders that do not find a satisfactory cure using allopathy. The manual and physical identification of such plants requires experience and
Amrutha M. Raghukumar +2 more
doaj +1 more source
Identifikasi Citra Pap Smear RepoMedUNM dengan Menggunakan K-Means Clustering dan GLCM
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022 Cervical cancer’s a gynecological malignancy in women that’s very dangerous, even causes death. Prevention through early detection of Pap smear test. It was carried out by pathologists with the help of a microscope still have obstacles in observations ...
Dwiza Riana +6 more
doaj +1 more source
A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung Cancer. [PDF]
, 2016 Quantitative imaging approaches compute features within images' regions of interest. Segmentation is rarely completely automatic, requiring time-consuming editing by experts.
Echegaray, Sebastian +6 more
core +1 more source
GLCM and CNN Deep Learning Model for Improved MRI Breast Tumors Detection
Int. J. Online Biomed. Eng., 2022 Breast cancer is one of the most common types of cancer among Iraqi women. MRI has been used in the detection of breast tumors for its efficient performance in the diagnosis process providing high accuracy.
Aya Alsalihi +2 more
semanticscholar +1 more source
Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2023 Tobacco leaves are one of the agricultural commodities cultivated by Indonesian farmers. In their application in the field, there are many obstacles in tobacco leaf cultivation, one of which is declining tobacco quality caused by weather factors. In this
Kristhina Evandari +2 more
doaj +1 more source
Offline handwritten signature verification using various Machine Learning Algorithms [PDF]
ITM Web of Conferences, 2021 In today’s world it is necessary to protect one’s authenticity in order to ensure the protection of personal information that only the authenticate credentials of a person can have access to.
Lokare Chinmay +4 more
doaj +1 more source
The pictures we like are our image: continuous mapping of favorite pictures into self-assessed and attributed personality traits [PDF]
, 2016 Flickr allows its users to tag the pictures they like as “favorite”. As a result, many users of the popular photo-sharing platform produce galleries of favorite pictures. This article proposes new approaches, based on Computational Aesthetics, capable to
Cristani, Marco +3 more
core +2 more sources
Gray-level co-occurrence matrix bone fracture detection [PDF]
, 2011 Problem statement: Currently doctors in orthopedic wards inspect the bone x-ray images according to their experience and knowledge in bone fracture analysis. Manual examination of x-rays has multitude drawbacks.
Ariff, A. K. +5 more
core +1 more source
Using Texture Analyses and Statistical Classification for Detection Plant Leaf Diseases
Al-Mustansiriyah Journal of Science, 2021 The proposed method is based on classifying 15 types of plant leaf disease. Hue saturation value was used to delete the background and the healthy areas to show only the affected area in the image.
Basim K.M.A Al-Windi +2 more
doaj +1 more source
Ensuring patients privacy in a cryptographic-based-electronic health records using bio-cryptography [PDF]
, 2017 Several recent works have proposed and implemented cryptography as a means to preserve privacy and security of patients health data. Nevertheless, the weakest point of electronic health record (EHR) systems that relied on these cryptographic schemes is ...
Emuoyibofarhe, Justice +2 more
core +2 more sources