Breast cancer ultrasound image segmentation using improved 3DUnet++ by Saba Hesaraki, Abdul Sajid Mohammed, Mehrshad Eisaei, Ramin Mousa

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Retinopathy Diabetic Recognition and Detection Using Novel Intelligent Algorithms by Liaquat Ali Rahoo

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Automatic Segmentation of Abdominal Aortic Aneurysm From Computed Tomography Angiography Using a Patch-Based Dilated UNet Model by Merjulah Roby, Juan C. Restrepo, Haehwan Park, Satish C. Muluk, Mark K. Eskandari, Seungik Baek, Ender A. Finol

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Enhanced image processing and storage for defect evaluation in BIM of inspected steel bridges by Dogan Karluklu, Cecilia Rinaldi, Marianna Crognale, Lucia Figuli, Vincenzo Gattulli

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Study on microscopic pore structures and mechanical properties by Shihu ZHAO, Yong LI, Yali LIU, Yanbin WANG, Zengqin LIU, Gang CHEN, Xinjun CHEN

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AI-Based Screening Method for Early Identification of Invasive Ductal Carcinoma in Breast Cancer by Dominik Jánošík, Sila Yavuz

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Artificially intelligent detection of retinal pigment sign using P3S-Net for retinitis pigmentosa analysis by Syed Muhammad Ali Imran, Abida Hussain, Nema Salem, Muhammad Arsalan

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Akuisisi Foreground dan Background Berbasis Fitur DTC pada Matting Citra secara Otomatis by Meidya Koeshardianto, Eko Mulyanto Yuniarno, Mochamad Hariadi

“…Teknik yang sering digunakan adalah image segmentation, namun hasil ekstraksinya masih kurang akurat. …”
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Peningkatan Performa Ensemble Learning pada Segmentasi Semantik Gambar dengan Teknik Oversampling untuk Class Imbalance by Arie Nugroho, M. Arief Soeleman, Ricardus Anggi Pramunendar, Affandy Affandy, Aris Nurhindarto

“…This research discusses how to improve the accuracy of image semantic segmentation in the ensemble learning method to deal with the problem of unbalanced data in image segmentation. The technique used is synthetic oversampling so as to produce balanced data and high accuracy. …”
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MoNetViT: an efficient fusion of CNN and transformer technologies for visual navigation assistance with multi query attention by Liliek Triyono, Liliek Triyono, Rahmat Gernowo, Prayitno

“…Traditional CNNs handle image segmentation well, but transformers excel at capturing long-range dependencies, essential for machine vision tasks. …”
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Experimental assessment of damage and microplastic release during cyclic loading of clear aligners. by Claudia Barile, Claudia Cianci, Vimalathithan Paramsamy Kannan, Giovanni Pappalettera, Carmine Pappalettere, Caterina Casavola, Michele Laurenziello, Domenico Ciavarella

“…A dimensional analysis based on k-means image segmentation and edge detection algorithm is developed to analyse the MPs. …”
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Synchrotron X-ray imaging study on the mechanism of solids transfer to bitumen froth during oil sands flotation 1: True flotation by Hanyu Zhang, Liuyin Xia, Ning Zhu, Sergey Gasilov, Iris He, Xiaofan Ding

“…This study introduced an innovative image segmentation technique to quantify the transfer of particles into the bitumen froth via true flotation. …”
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Segmentasi Citra Wajah dengan Implementasi Adaptif Threshold- Integral Image by Maryam Ummul Habibah, Muchamad Kurniawan

“…And the best results are obtained, name the image in the room (indoor) the value of S = 1/2 and T = 50, and the image outside the room (outdoor) the value of S = 1/30 and T = 30. Face image segmentation using the Adaptive Threshold - Integral Image robust method of high and low light intensity by setting the S (kernel) and T (Threshold) parameter values, this method is able to split the face object and its background. …”
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