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14 papers · ranked by Valyu relevance

01
PPubMed29 May 2024
A deep learning approach for electric motor fault diagnosis based on modified InceptionV3
Lifu Xu, Soo Siang Teoh, Haidi Ibrahim
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. In this study, we propose a thermography-based motor fault detection method based on InceptionV3…
88relevance
02
BbioRxiv24 Aug 2019
Atrous Convolution with Transfer Learning for Skin Lesions Classification
Md. Aminur Rab Ratul, Mohammad Hamed Mozaffari, Enea Parimbelli, WonSook Lee
Skin cancer is a crucial public health issue and by far the most usual kind of cancer specifically in the region of North America. It is estimated that in 2019, only because of melanoma nearly 7,230 people will die, and 192,310 cases of malignant melanoma will be diagnosed. Nonetheless, nearly all types of skin lesions…
83relevance
03
AarXiv15 Mar 2024
Monkeypox disease recognition model based on improved SE-InceptionV3
Junzhuo Chen, Zonghan Lu, Shitong Kang
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. Utilizing the Kaggle monkeypox…
82relevance
04
PPubMed22 Apr 2025
Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification Chelloug et al. 10.3389/fphys.2025.1558001
Samia Allaoua Chelloug, Abduljabbar S. Ba Mahel, Rana Alnashwan, Ahsan Rafiq + 2 more
'Ahsan Rafiq' 'Mohammed Saleh Ali Muthanna' 'Ahmed Aziz'] Introduction Breast 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. Early and accurate…
82relevance
05
PPubMed7 Oct 2022
Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease
Muhammad Shoaib, Tariq Hussain, Babar Shah, Ihsan Ullah + 3 more
'Sayyed Mudassar Shah' 'Farman Ali' 'Sang Hyun Park'] Plants contribute significantly to the global food supply. Various Plant diseases can result in production losses, which can be avoided by maintaining vigilance. However, manually monitoring plant diseases by agriculture experts and botanists is time-consuming…
81relevance
06
PPubMed7 May 2026
Enhanced rice leaf disease classification via contour-driven segmentation and optimized deep transfer learning architectures Enhanced rice leaf disease classification
Ummer Shakeel, Muhammad Asif Habib, Muhammad Yasir, Muhammad Umar Chaudhry + 5 more
Pakistan is the fourth-largest rice producer and the fifth-largest exporter worldwide. Timely disease detection remains challenging due to the scale of cultivation and reliance on manual monitoring. Developing reliable, ongoing computerized systems for plant health management is essential for efficient disease control.…
81relevance
07
BbioRxiv30 Nov 2019
Skin Lesions Classification Using Deep Learning Based on Dilated Convolution
Md. Aminur Rab Ratul, M. Hamed Mozaffari, Won-Sook Lee, Enea Parimbelli
The prediction of skin lesions is a challenging task even for experienced dermatologists due to a little contrast between surrounding skin and lesions, the visual resemblance between skin lesions, fuddled lesion border, etc. An automated computer-aided detection system with given images can help clinicians to prognosis…
81relevance
08
AarXivUndated
2602.10967
Authors not listed
— Guava fruits often suffer from many diseases. This can harm fruit quality and fruit crop yield. Early identification is important for minimizing damage and ensuring fruit health. This study focuses on 3 different categories for classifying diseases. These are Anthracnose, Fruit flies, and Healthy fruit. The data set…
76relevance
09
AarXiv17 Dec 2022
Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network
Mst Shapna Akter, Hossain Shahriar, Sweta Sneha, Alfredo Cuzzocrea
—Skin cancer is a deadly disease. Melanoma is a type of skin cancer responsible for the high mortality rate. Early detection of skin cancer can enable patients to treat the disease and minimize the death rate. Skin cancer detection is challenging since different types of skin lesions share high similarities. This paper…
73relevance
10
PPubMed19 Dec 2025
Squeeze-and-Excitation Enhanced Convolutional Neural Networks for Multi-class Pneumonia Classification on Chest Radiographs
Alexander Muacevic, John R Adler, Kian A Huang, Haris K Choudhary + 2 more
This study compared two convolutional neural network (CNN) architectures, ResNet50V2 and InceptionV3, each enhanced with squeeze-and-excitation (SE) attention mechanisms, for automated classification of chest X-rays into normal, pneumonia-bacterial, pneumonia-viral, and COVID-19 categories. A total of 9,208…
72relevance
11
PPubMed11 Apr 2022
COV-DLS: Prediction of COVID-19 from X-Rays Using Enhanced Deep Transfer Learning Techniques
Vijay Kumar, Anis Zarrad, Rahul Gupta, Omar Cheikhrouhou
In this paper, modifications in neoteric architectures such as VGG16, VGG19, ResNet50, and InceptionV3 are proposed for the classification of COVID-19 using chest X-rays. The proposed architectures termed “COV-DLS” consist of two phases: heading model construction and classification. The heading model construction…
72relevance
12
AarXivUndated
2602.04820
Authors not listed
— Human nail diseases are gradually observed over all age groups, especially among older individuals, often going ignored until they become severe. Early detection and accurate diagnosis of such conditions are important because they sometimes reveal our body's health problems. But it is challenging due to the inferred…
71relevance
13
AarXiv2022
PCONet: A Convolutional Neural Network Architecture to Detect Polycystic Ovary Syndrome (PCOS) from Ovarian Ultrasound Images
A. K. M. Salman Hosain, Md Humaion Kabir Mehedi, Irteza Enan Kabir
—Polycystic Ovary Syndrome (PCOS) is an endrocrinological dysfunction prevalent among women of reproductive age. PCOS is a combination of syndromes caused by an excess of androgens — a group of sex hormones — in women. Syndromes including acne, alopecia, hirsutism, hyperandrogenaemia, oligoovulation, etc. are caused by…
69relevance
14
BbioRxiv11 Jun 2022
NISNet3D: Three-Dimensional Nuclear Synthesis and Instance Segmentation for Fluorescence Microscopy Images
Liming Wu, Alain Chen, Paul Salama, Kenneth Dunn + 1 more
The primary step in tissue cytometry is the automated distinction of individual cells (segmentation). Since cell borders are seldom labeled, researchers generally segment cells by their nuclei. While effective tools have been developed for segmenting nuclei in two dimensions, segmentation of nuclei in three-dimensional…
51relevance

Results for InceptionV3

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

Atrous Convolution with Transfer Learning for Skin Lesions Classification

Monkeypox disease recognition model based on improved SE-InceptionV3

Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification Chelloug et al. 10.3389/fphys.2025.1558001

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

Enhanced rice leaf disease classification via contour-driven segmentation and optimized deep transfer learning architectures Enhanced rice leaf disease classification

Skin Lesions Classification Using Deep Learning Based on Dilated Convolution

2602.10967

Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network

Squeeze-and-Excitation Enhanced Convolutional Neural Networks for Multi-class Pneumonia Classification on Chest Radiographs

COV-DLS: Prediction of COVID-19 from X-Rays Using Enhanced Deep Transfer Learning Techniques

2602.04820

PCONet: A Convolutional Neural Network Architecture to Detect Polycystic Ovary Syndrome (PCOS) from Ovarian Ultrasound Images

NISNet3D: Three-Dimensional Nuclear Synthesis and Instance Segmentation for Fluorescence Microscopy Images

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

Atrous Convolution with Transfer Learning for Skin Lesions Classification

Monkeypox disease recognition model based on improved SE-InceptionV3

Enhanced breast cancer diagnosis using modified InceptionNet-V3: a deep learning approach for ultrasound image classification Chelloug et al. 10.3389/fphys.2025.1558001

Deep learning-based segmentation and classification of leaf images for detection of tomato plant disease

Enhanced rice leaf disease classification via contour-driven segmentation and optimized deep transfer learning architectures Enhanced rice leaf disease classification

Skin Lesions Classification Using Deep Learning Based on Dilated Convolution

2602.10967

Multi-class Skin Cancer Classification Architecture Based on Deep Convolutional Neural Network

Squeeze-and-Excitation Enhanced Convolutional Neural Networks for Multi-class Pneumonia Classification on Chest Radiographs

COV-DLS: Prediction of COVID-19 from X-Rays Using Enhanced Deep Transfer Learning Techniques

2602.04820

PCONet: A Convolutional Neural Network Architecture to Detect Polycystic Ovary Syndrome (PCOS) from Ovarian Ultrasound Images

NISNet3D: Three-Dimensional Nuclear Synthesis and Instance Segmentation for Fluorescence Microscopy Images