Results 81 to 90 of about 12,701 (190)

An improved method for diagnosis of Parkinson’s disease using deep learning models enhanced with metaheuristic algorithm

BMC Medical Imaging
Parkinson's disease (PD) is challenging for clinicians to accurately diagnose in the early stages. Quantitative measures of brain health can be obtained safely and non-invasively using medical imaging techniques like magnetic resonance imaging (MRI) and ...
Babita Majhi, Aarti Kashyap, Siddhartha Suprasad Mohanty, Sujata Dash, Saurav Mallik, Aimin Li, Zhongming Zhao   +6 more
doaj   +1 more source

Deep Learning Model for Colon Cancer Classification using InceptionV3

Journal of Electrical Systems
Colon cancer is a significant global public health concern, necessitating an accurate and timely diagnosis for effective treatment. Leveraging advancements in deep learning, this study proposes a novel approach to colon cancer classification using InceptionV3 convolutional neural network architecture.
openaire   +1 more source

Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification

Frontiers in Physiology
IntroductionBreast cancer (BC) is a malignant neoplasm that originates in the mammary gland’s cellular structures and remains one of the most prevalent cancers among women, ranking second in cancer-related mortality after lung cancer.
Samia Allaoua Chelloug, Abduljabbar S. Ba Mahel, Rana Alnashwan, Ahsan Rafiq, Mohammed Saleh Ali Muthanna, Ahmed Aziz, Ahmed Aziz   +6 more
doaj   +1 more source

A deep learning approach for electric motor fault diagnosis based on modified InceptionV3

Scientific Reports
Electric motors are essential equipment widely employed in various sectors. However, factors such as prolonged operation, environmental conditions, and inadequate maintenance make electric motors prone to various failures.
Lifu Xu, Soo Siang Teoh, Haidi Ibrahim
doaj   +1 more source

IncepV3Dense: Deep Ensemble Based Average Learning Strategy for Identification of Micro-Nutrient Deficiency in Banana Crop

IEEE Access
The Nutrition of a crop is very essential for the health conditions during its growth stages and yield. A plant development is dependent on various nutrients absorbed from the natural environment or fertilizer supplements.
Sudhakar Muthusamy, Swarna Priya Ramu
doaj   +1 more source

Klasifikasi Jenis Buah dengan Menggunakan Metode MobileNetv2 dan Inceptionv3

Jurnal Eksplora Informatika
Buah merupakan salah satu komoditas pangan yang penting bagi masyarakat. Buah memiliki banyak jenis yang tidak semua orang dapat mengenalinya dengan baik. Paper ini bertujuan untuk menguji metode Convolutional Neural Network (CNN) yaitu MobileNetv2 dan Inceptionv3 untuk mengenali jenis buah.
Teny Handhayani, Benny Karnadi
openaire   +1 more source

Automated classification of elongated styloid processes using deep learning models-an artificial intelligence diagnostics

Frontiers in Oral Health
BackgroundThe styloid process (SP), a bony projection from the temporal bone which can become elongated, resulting in cervical pain, throat discomfort, and headaches.
Anuradha Ganesan, N. Gautham Kumar, Prabhu Manickam Natarajan, Jeevitha Gauthaman   +3 more
doaj   +1 more source

Employing transfer learning for breast cancer detection using deep learning models.

PLOS Digital Health
Breast cancer remains a critical global health concern, affecting countless lives worldwide. Early and accurate detection plays a vital role in improving patient outcomes. The challenge lies with the limitations of traditional diagnostic methods in terms
Frimpong Twum, Charlyne Carol Eyram Ahiable, Stephen Opoku Oppong, Linda Banning, Kwabena Owusu-Agyemang   +4 more
doaj   +1 more source

PrecisionLymphoNet: Advancing Malignant Lymphoma Diagnosis via Ensemble Transfer Learning with CNNs

Diagnostics
Malignant lymphoma, which impacts the lymphatic system, presents diverse challenges in accurate diagnosis due to its varied subtypes—chronic lymphocytic leukemia (CLL), follicular lymphoma (FL), and mantle cell lymphoma (MCL).
Sivashankari Rajadurai, Kumaresan Perumal, Muhammad Fazal Ijaz, Chiranji Lal Chowdhary   +3 more
doaj   +1 more source

Monkeypox disease recognition model based on improved SE-InceptionV3

Journal of Intelligent & Fuzzy Systems
In the wake of the global spread of monkeypox, accurate disease recognition has become crucial. This study introduces an improved SE-InceptionV3 model, embedding the SENet module and incorporating L2 regularization into the InceptionV3 framework to enhance monkeypox disease detection.
Chen, Junzhuo, Lu, Zonghan, Kang, Shitong   +2 more
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