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Item type:Publication, Can Deep Learning Wound Segmentation Algorithms Developed for a Dataset Be Effective for Another Dataset? A Specific Focus on Diabetic Foot Ulcers(IEEE, 2024-12-19)Diabetic foot ulcers (DFU) represent a severe complication, often resulting from poor glycemic control, neuropathy, peripheral vascular disease, or inadequate foot care. DFUs can lead to significant morbidity, including amputation and, in severe cases, c... - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Diagnosis of oral cancer using deep learning algorithms(Universidad Politécnica Salesiana (Ecuador), 2024-07-01)Objective. The aim of this study was to use deep learning for the automatic diagnosis of oral cancer, employing images of the lips, mucosa, and oral cavity. A deep convolutional neural network (CNN) model, augmented with data, was proposed to enhance ora... - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A comparison between Deep Learning architectures for the assessment of breast tumor segmentation using VSI ultrasound protocol(IEEE, 2024-12-17)Automatic breast tumor ultrasound segmentation is one of the most critical components in the development of tools for breast cancer diagnosis. Several deep learning algorithms have been tested with public and private datasets but none of them has been de... - Some of the metrics are blocked by yourconsent settings
Item type:Publication, A Deep Learning Approach to Distance Map Generation Applied to Automatic Fiber Diameter Computation from Digital Micrographs(MDPI, 2024-08-24)Precise measurement of fiber diameter in animal and synthetic textiles is crucial for quality assessment and pricing; however, traditional methods often struggle with accuracy, particularly when fibers are densely packed or overlapping. Current computer ... - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Towards Efficient Water Bottling Operations: A Continuous Improvement Analysis and Deep Learning-Driven Master Production Scheduler(LACCEI, 2024-01-01)We present a comprehensive solution aimed at enhancing water bottling operations by addressing production planning inefficiencies and order non-compliance, the MPS integrates forecast modelling, inventory control, and production management to streamline ...