Found: 19
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Correlation of renal histopathology with renal echogenicity in dogs and cats: an ex-vivo quantitative study.
- Published in:
- BMC Veterinary Research, 2015, v. 11, n. 1, p. 1, doi. 10.1186/s12917-015-0415-8
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- Publication type:
- Article
Comparative evaluation of the cadaveric, radiographic and computed tomographic anatomy of the heads of green iguana (Iguana iguana), common tegu (Tupinambis merianae) and bearded dragon (Pogona vitticeps).
- Published in:
- BMC Veterinary Research, 2012, v. 8, n. 1, p. 53, doi. 10.1186/1746-6148-8-53
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- Publication type:
- Article
Contrast-enhanced ultrasound features of adrenal lesions in dogs.
- Published in:
- Veterinary Record: Journal of the British Veterinary Association, 2023, v. 193, n. 3, p. 1, doi. 10.1002/vetr.2949
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- Publication type:
- Article
Contrast-enhanced ultrasound features of focal pancreatic lesions in dogs.
- Published in:
- Veterinary Record: Journal of the British Veterinary Association, 2022, v. 191, n. 8, p. 1, doi. 10.1002/vetr.2080
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- Publication type:
- Article
Accuracy of deep learning to differentiate the histopathological grading of meningiomas on MR images: A preliminary study.
- Published in:
- 2019
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- Publication type:
- journal article
Relationship of diagnostic accuracy of renal cortical echogenicity with renal histopathology in dogs and cats, a quantitative study.
- Published in:
- BMC Veterinary Research, 2017, p. 1, doi. 10.1186/s12917-016-0941-z
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- Publication type:
- Article
Normal computed tomographic features and reference values for the coelomic cavity in pet parrots.
- Published in:
- BMC Veterinary Research, 2016, v. 12, p. 1, doi. 10.1186/s12917-016-0821-6
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- Publication type:
- Article
Role of AI in diagnostic imaging error reduction.
- Published in:
- Frontiers in Veterinary Science, 2024, p. 1, doi. 10.3389/fvets.2024.1437284
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- Publication type:
- Article
Undifferentiated laryngeal carcinoma with hyaline bodies in a cat.
- Published in:
- 2021
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- Publication type:
- Case Study
Contrast-enhanced ultrasound features of malignant focal liver masses in dogs.
- Published in:
- Scientific Reports, 2020, v. 10, n. 1, p. 1, doi. 10.1038/s41598-020-63220-3
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- Publication type:
- Article
Automatic classification of canine thoracic radiographs using deep learning.
- Published in:
- Scientific Reports, 2021, v. 11, n. 1, p. 1, doi. 10.1038/s41598-021-83515-3
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- Publication type:
- Article
Contrast-enhanced ultrasonography features of hepatobiliary neoplasms in cats.
- Published in:
- Veterinary Record: Journal of the British Veterinary Association, 2020, v. 186, n. 10, p. 1, doi. 10.1136/vr.105453
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- Publication type:
- Article
Contrast-enhanced ul trasound features of hepatocellular carcinoma in dogs.
- Published in:
- Veterinary Record: Journal of the British Veterinary Association, 2020, v. 186, n. 6, p. 1, doi. 10.1136/vetrec-2018-105282
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- Publication type:
- Article
Contrast‐enhanced ultrasound features of hepatocellular carcinoma in dogs.
- Published in:
- Veterinary Record: Journal of the British Veterinary Association, 2020, v. 186, n. 4, p. 187, doi. 10.1136/vr.105282
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- Publication type:
- Article
Preliminary Evaluation of Cortical and Medullary Echogenicity in Normal Canine Fetal Kidneys during the Last 10 Days of Pregnancy.
- Published in:
- Veterinary Sciences, 2023, v. 10, n. 11, p. 639, doi. 10.3390/vetsci10110639
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- Publication type:
- Article
An AI-based algorithm for the automatic evaluation of image quality in canine thoracic radiographs.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-44089-4
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- Publication type:
- Article
Improving the classification of veterinary thoracic radiographs through inter-species and inter-pathology self-supervised pre-training of deep learning models.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-46345-z
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- Publication type:
- Article
An AI-based algorithm for the automatic evaluation of image quality in canine thoracic radiographs.
- Published in:
- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-44089-4
- By:
- Publication type:
- Article
A methodological approach for deep learning to distinguish between meningiomas and gliomas on canine MR-images.
- Published in:
- BMC Veterinary Research, 2018, v. 14, n. 1, p. N.PAG, doi. 10.1186/s12917-018-1638-2
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- Publication type:
- Article