Projects per year
Personal profile
Research interests
The goal of the research is to get 3D pathology with both morphological and biochemical information. To achieve this, different image modalities (digital bright field microscopy, optical coherence microscopy, mass spectrometry imaging) will be combined to gain more insight in both morphological and biochemical properties of the tissue. Apart from the additional image modalities, we will make more sections of the tissue, enabling a three-dimensional reconstruction of the tissue. As a result, the orientation is simplified for the pathologist and the risk of missing anomalies reduced. However, more sections would also increase the workload for pathologist, using (semi-)automatic image analysis would decrease this workload and speed up the diagnosis.
specialisation
Collaborations and top research areas from the last five years
Projects
- 1 Active
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van Leeuwen A.G.J.M.: Biomedical photonics for functional and molecular imaging
Achetib, N., Almasian, M., Bus, M., Gool, E., Hoveling, R., Jansen, I., Jansen, S., Jelvehgaran, P., Fagalde, K., Lucas, M., Muller, B., Peinado Cortes, L., Post, A., de Rond, L., Swaan, A., Wilk, L., Zhang, X., van Leeuwen, T., Aalders, M., Faber, D., de Bruin, M., Coumans, F., van Dam, A., van der Pol, E. & Riordan, A.
1/02/2007 → …
Project: Research
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Deep learning for histopathology of the lower urinary tract
Lucas, M., 2021, 105 p.Research output: PhD Thesis › Phd-Thesis - Research and graduation internal
Open Access -
Machine learning for grading and prognosis of esophageal dysplasia using mass spectrometry and histological imaging
Beuque, M., Martin-Lorenzo, M., Balluff, B., Woodruff, H. C., Lucas, M., de Bruin, D. M., van Timmeren, J. E., Boer, O. J. D., Heeren, R. MA., Meijer, S. L. & Lambin, P., Nov 2021, In: Computers in Biology and Medicine. 138, p. 104918 104918.Research output: Contribution to journal › Article › Academic › peer-review
Open Access13 Citations (Scopus) -
Automated Detection and Grading of Non–Muscle-Invasive Urothelial Cell Carcinoma of the Bladder
Jansen, I., Lucas, M., Bosschieter, J., de Boer, O. J., Meijer, S. L., van Leeuwen, T. G., Marquering, H. A., Nieuwenhuijzen, J. A., de Bruin, D. M. & Savci-Heijink, C. D., 1 Jul 2020, In: American journal of pathology. 190, 7, p. 1483-1490 8 p.Research output: Contribution to journal › Article › Academic › peer-review
32 Citations (Scopus) -
Deep Learning–based Recurrence Prediction in Patients with Non–muscle-invasive Bladder Cancer
Lucas, M., Jansen, I., van Leeuwen, T. G., Oddens, J. R., de Bruin, D. M. & Marquering, H. A., 2020, (E-pub ahead of print) In: European urology focus.Research output: Contribution to journal › Article › Academic › peer-review
Open Access30 Citations (Scopus) -
Recurrence in non-muscle invasive bladder cancer patients: External validation of the EORTC, CUETO and EAU risk tables and towards a non-linear survival model
Lucas, M., Jansen, I., Oddens, J. R., van Leeuwen, T. G., Marquering, H. A. & de Bruin, D. M., 2020, In: Bladder Cancer. 6, 3, p. 277-284 8 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access