Results 81 to 90 of about 5,255 (193)

Trustworthy Deep Feature Extraction and Ensemble‐Based Machine Learning Approach for Breast Cancer Detections

Healthcare Technology Letters, Volume 13, Issue 1, January/December 2026.
This study presents a trustworthy method that integrates machine learning and deep learning methods, using pre‐trained models to extract features and build a reliable prediction model. An innovative feature of this study is extracting fine features from images of breast cancer, which provides a trustworthy evaluation of the BC identification system's ...
Md. Rashed, Mohammad Kamrul Hasan, Md. Imran Hossain, Md. Sarwar Hosain, Abdul Hadi Abd Rahman, Shayla Islam   +5 more
wiley   +1 more source

Skin Lesion Diagnosis using Ensembles, Unscaled Multi-Crop Evaluation and Loss Weighting

, 2018
In this paper we present the methods of our submission to the ISIC 2018 challenge for skin lesion diagnosis (Task 3). The dataset consists of 10000 images with seven image-level classes to be distinguished by an automated algorithm. We employ an ensemble
Baltruschat, Ivo, Gessert, Nils, Kniep, Helge, Madesta, Frederic, Schlaefer, Alexander, Schmitz, Rüdiger, Sentker, Thilo, Werner, René   +7 more
core  

Influence of activation function in deep learning for cutaneous melanoma identification

Journal of Computer Sciences Institute
Malignant melanoma is an aggressive skin cancer requiring early detection for effective treatment. In this study, it is hypothesized that the choice of activation function affects the classification performance of pre-trained models in melanoma ...
Adrian Szymczyk, Maria Skublewska-Paszkowska   +1 more
doaj   +1 more source

Pneumonia detection system using convolutional neural network with DenseNet201 architecture

International Journal of Informatics and Communication Technology (IJ-ICT)
The diagnosis of pneumonia remains a significant challenge for medical practitioners worldwide, particularly in regions with limited healthcare resources. Traditional interpretation of chest X-rays is time-consuming and often subjective, especially when images are of low quality.
Muhammad Qomaruddin, Andi Riansyah, Hildan Mulyo Hermawan, Moch Taufik   +3 more
openaire   +1 more source

Smart farming: Leveraging IoT and deep learning for sustainable tomato cultivation and pest management

Crop Design
Since the world's population is rising continuously, more cultivable land is being utilized for their dwellings. As a result, proper plan and technological breakthroughs shall be necessary to solve the food shortage.
Md Rakibul Hasan, Md. Mahbubur Rahman, Fahim Shahriar, Md. Saikat Islam Khan, Khandaker Mohammad Mohi Uddin, Md. Mosaddik Hasan   +5 more
doaj   +1 more source

Application of Convolutional Neural Networks in Skin Disease Prediction: Accuracy and Efficiency in Dermatological Image Analysis [PDF]

The use of dermatological images and convolutional neural networks (CNNs) to predict skin diseases is one of the most promising applications of data science to improve the diagnosis and treatment of skin diseases.
Cabanillas-Carbonell, Michael, Iparraguirre-Villanueva, Orlando   +1 more
core   +1 more source

Utilizing Deep Convolutional Neural Networks to Identify Pneumonia from Chest X-Ray Images [PDF]

Chest pain, exhaustion, and coughing are all symptoms of pneumonia, a common respiratory infection. Youngchildren, the elderly, and people with compromised immune systems should avoid it.
Babji, Shaik Valiya, Chandana, Gutthula Hari, Eswar, Dora, Kumar, Mr.Y.Manas, Pavan, Ganni Sri Ram, Praveen , Kommireddy   +5 more
core   +1 more source

Deep Learning Approach for Pneumonia Prediction from X-Rays using A Pretrained Densenet Model

Jurnal ELTIKOM: Jurnal Teknik Elektro, Teknologi Informasi dan Komputer
Pneumonia remains a major global health concern, particularly affecting young children and older adults, contributing to significant morbidity and mortality.
Ahmad Zein Al Wafi, Febry Putra Rochim, Aisya Fathimah   +2 more
doaj   +1 more source

Densenet201+ with multi-scale attention and deep feature engineering for automated Kellgren–Lawrence grading of knee osteoarthritis [PDF]

PeerJ Computer Science
Accurate and early diagnosis of knee osteoarthritis (KOA) is critical for effective treatment and patient management. In this study, I propose an enhanced deep learning-based diagnostic framework centered on our custom-designed DenseNet201+ architecture,
Şafak Kılıç
doaj   +2 more sources

Rice Disease and Pest Recognition Method Integrating ECA Mechanism and DenseNet201

智慧农业, 2023
ObjectiveTo address the problems of low efficiency and high cost of traditional manual identification of pests and diseases, improve the automatic recognition of pests and diseases by introducing advanced technical means, and provide feasible technical solutions for agricultural pest and disease monitoring and prevention and control, a rice image ...
PAN Chenlu, ZHANG Zhenghua, GUI Wenhao, MA Jiajun, YAN Chenxi, ZHANG Xiaomin   +5 more
openaire   +1 more source