Nuno R Freitas
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Explore the profile of Nuno R Freitas including associated specialties, affiliations and a list of published articles.
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6
Citations
25
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Recent Articles
1.
Freitas N, Vieira P, Tinoco C, Anacleto S, Oliveira J, Vaz A, et al.
Artif Intell Med
. 2024 Jan;
147:102723.
PMID: 38184356
Automatic diagnosis systems capable of handling multiple pathologies are essential in clinical practice. This study focuses on enhancing precise lesion localization, classification and delineation in transurethral resection of bladder tumor...
2.
Freitas N, Vieira P, Cordeiro A, Tinoco C, Morais N, Torres J, et al.
Artif Intell Med
. 2022 Mar;
126:102275.
PMID: 35346444
This paper confronts two approaches to classify bladder lesions shown in white light cystoscopy images when using small datasets: the classical one, where handcrafted-based features feed pattern recognition systems and...
3.
Vieira P, Freitas N, Lima V, Costa D, Rolanda C, Lima C
Artif Intell Med
. 2021 Sep;
119:102141.
PMID: 34531016
The majority of current systems for automatic diagnosis considers the detection of a unique and previously known pathology. Considering specifically the diagnosis of lesions in the small bowel using endoscopic...
4.
Vieira P, Freitas N, Valente J, Vaz I, Rolanda C, Lima C
Med Phys
. 2019 Jul;
47(1):52-63.
PMID: 31299096
Purpose: Wireless Capsule Endoscopy (WCE) is a minimally invasive diagnosis tool for lesion detection in the gastrointestinal tract, reaching places where conventional endoscopy is unable to. However, the significant amount...
5.
Freitas N, Vieira P, Lima E, Lima C
Phys Med Biol
. 2017 Dec;
63(3):035031.
PMID: 29271350
Correct classification of cystoscopy images depends on the interpreter's experience. Bladder cancer is a common lesion that can only be confirmed by biopsying the tissue, therefore, the automatic identification of...
6.
Freitas N, Vieira P, Lima E, Lima C
Annu Int Conf IEEE Eng Med Biol Soc
. 2017 Oct;
2017:656-659.
PMID: 29059958
Nowadays the diagnosis of bladder lesions relies upon cystoscopy examination and depends on the interpreter's experience. State of the art of bladder tumor identification are based on 3D reconstruction, using...